Bathroom bed

Abstract

To provide a bathroom floor that can improve design.SOLUTION: Provided that a two-dimensional Fourier-transformed image of a top-view photographed image of a bathroom floor containing a plurality of convex portions is a converted image; an image obtained by multiplying the converted image by an n-th bandpass filter (n is 1 to 8) whose frequency at which the pass rate is the maximum value is 2 to the nth power is a converted image by nth band; an image obtained by inverse Fourier transforming the converted image by nth band is a pattern image by nth size; a common logarithm of a standard deviation of the brightness value of the pattern image by nth size is a pattern standard deviation by nth size; a combined length range corresponding to the passband of the n-th bandpass filter applied to the converted image when calculating the pattern image by nth size with the first to fourth largest pattern standard deviation by nth size is a pattern size range, there is provided a bathroom floor characterized in that the number of convex portions whose convex size is equal to or larger than the pattern size range is at least half of the total number of the plurality of convex portions.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] Aspects of the present invention generally relate to bathroom floors.

Background Art

[0002] Conventionally, in bathroom floors, it is known to provide irregularities on the surface for drainage (for example, Patent Document 1). On the other hand, in order to improve the design, a pattern may be provided on the surface of the bathroom floor. For example, patterns of natural textures such as wood grain and stone grain have been considered. However, depending on the size of the irregularities for drainage, the irregularities may become prominent, and the design of the pattern may be impaired.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Patent Document 2

Patent Document 3

Summary of the Invention

Problems to be Solved by the Invention

[0004] The present invention has been made based on the recognition of such problems, and an object thereof is to provide a bathroom floor capable of improving the design.

Means for Solving the Problems

[0005] The first invention is a bathroom floor comprising a resin layer having a patterned layer, wherein the surface of the resin layer is provided with irregularities including a plurality of protrusions, and the plurality of protrusions include at least one of the following: a first protrusion whose entire outer periphery is surrounded by a recess; a second protrusion whose outer periphery is partially surrounded by one recess and the rest of its outer periphery is surrounded by at least one of the bathroom wall, drain, bathtub, and bathroom door; and a third protrusion whose outer periphery is partially surrounded by a plurality of recesses and the rest of its outer periphery is surrounded by at least one of the bathroom wall, drain, bathtub, and bathroom door. 65.The captured image with a resolution of 0.2 dpi is converted to grayscale and then subjected to a 2D Fourier transform to obtain the transformed image. Each of the eight nth bandpass filters (n being an integer from 1 to 8) whose frequency at which the pass-through rate is maximized is 2 to the power of n is applied to the transformed image to obtain eight nth band-specific transformed images. Each of the eight nth band-specific transformed images is subjected to an inverse Fourier transform to obtain eight nth size-specific pattern images. The common logarithm of the standard deviation of the luminance values ​​of each of the eight nth size-specific pattern images is defined as the standard deviation of the eight nth size-specific patterns. The length range corresponding to the passband of the nth bandpass filter is defined as the length range of the nth bandpass filter. The range obtained by combining the four length ranges of the nth bandpass filters applied to the transformed image when calculating each of the nth size-specific pattern images having the 1st to 4th largest standard deviations among the eight nth size-specific pattern standard deviations is defined as the range within the shooting area. The bathroom floor is characterized in that, when the pattern size range is defined as such, and in a top view, the maximum length of the first protrusion is defined as the long side, the length of the short side of a virtual rectangle circumscribing the first protrusion is defined as the first protrusion size of the first protrusion, and in a top view, the maximum length of the second protrusion is defined as the long side, the length of the short side of a virtual rectangle circumscribing the second protrusion is defined as the second protrusion size of the second protrusion, and in a top view, the minimum distance between two opposing recesses surrounding the third protrusion is defined as the third protrusion size of the third protrusion, then, in at least one of the N (N is an integer of 9 or more) of the photographic areas arranged so as not to overlap in a top view of the bathroom floor, the sum of the number of first protrusions whose first protrusion size is greater than or equal to the pattern size range, the number of second protrusions whose second protrusion size is greater than or equal to the pattern size range, and the number of third protrusions whose third protrusion size is greater than or equal to the pattern size range is greater than or equal to half the total number of protrusions in the photographic area.

[0006] In the nth size pattern image, a large standard deviation of the nth size pattern corresponds to a denser pattern within that image. Therefore, the pattern size range within the shooting area indicates the size of the dense pattern within that shooting area, that is, the size of the pattern that is easily visible to the user. When the raised size is smaller than the pattern size range, more shadows of the unevenness are visible in the fainter parts of the pattern, making the unevenness more visible to the user. Conversely, when the raised size is included in the pattern size range, or larger than the pattern size range, the unevenness tends to overlap with the pattern, making it less visible to the user. With this bathroom floor, by making the raised size greater than or equal to the pattern size range in more than half of the raised parts within the shooting area, the unevenness becomes less visible to the user, improving the design. For example, in a bathroom floor, it is possible to achieve both drainage due to unevenness and design.

[0007] The second invention is a bathroom floor characterized in that, in at least one of the N (N is an integer of 9 or more) of the photographic areas arranged so as not to overlap each other in a top view of the bathroom floor, the sum of the number of first protrusions whose first protrusion size is included in the pattern size range, the number of second protrusions whose second protrusion size is included in the pattern size range, and the number of third protrusions whose third protrusion size is included in the pattern size range is more than half of the total number of protrusions in the photographic area.

[0008] According to this bathroom floor design, by making the size of the protrusions the same as the pattern size for more than half of the protrusions within the shooting area, the unevenness blends in with the pattern, making it difficult to distinguish between the unevenness and the pattern. In other words, the unevenness can be hidden by the pattern, making it less noticeable.

[0009] The third invention is a bathroom floor characterized in that, in the first or second invention, the plurality of protrusions include an arbitrary protrusion and an adjacent protrusion adjacent to the arbitrary protrusion in a top view, and the shape of the adjacent protrusion in a top view is not congruent to the shape of the arbitrary protrusion in a top view.

[0010] The shadows cast by uneven surfaces are determined by the shape of the uneven surfaces; therefore, if the shape of the uneven surfaces is regular, the shadows will also be regular. With this bathroom floor, by making the shape of adjacent protrusions in a top view non-congruent to the shape of any given protrusion in a top view, the shadows cast by the uneven surfaces can be made irregular. This makes the uneven surfaces less noticeable while still providing drainage.

[0011] The fourth invention is a bathroom floor characterized in that, in the grayscale image obtained by converting the captured image to 8-bit grayscale, the area in which the brightness values ​​of the pixels in the area of ​​the protrusion are defined as follows: the area in which the brightness values ​​are 0 or more and 25 or less is defined as the first area; the area in which the brightness values ​​are 26 or more and 230 or less is defined as the second area; and the area in which the brightness values ​​are 231 or more and 255 or less is defined as the third area; and in at least one of the N (N is an integer of 9 or more) of the captured images that are arranged so as not to overlap each other in a top view of the bathroom floor, the number of pixels in the second area exceeds 50% of the sum of the number of pixels in the first area, the number of pixels in the second area, and the number of pixels in the third area; and when the standard deviation calculated from the brightness values ​​of the pixels in the area of ​​the protrusion in each of the N images is defined as the first standard deviation, and the standard deviation of the N first standard deviations is defined as the second standard deviation, the second standard deviation is 1 or less.

[0012] Because the shadows created by the uneven surface have a gradient, the histogram of the brightness values ​​of the shadows of the uneven surface tends to have a high proportion of intermediate colors. With this bathroom floor, by adopting a pattern with a high proportion of intermediate colors, such that the number of pixels in the second region of intermediate colors exceeds 50% of the total number of pixels (the sum of the number of pixels in the first region which is closer to black, the number of pixels in the second region which is closer to intermediate colors, and the number of pixels in the third region which is closer to white), the characteristics of the pattern's shading can be made to resemble the characteristics of the shading of the uneven surface. This makes the shadows of the uneven surface appear as a pattern, making the uneven surface less noticeable. In addition, in order to obtain sufficient drainage, it is preferable to form the uneven surface evenly across the entire surface of the resin layer. With this bathroom floor, by making the standard deviation of the standard deviation of the brightness values ​​corresponding to N shooting areas (first-order standard deviation) (second-order standard deviation) less than 1, the shading of the pattern can be made more uniform across the entire surface of the resin layer. This makes it possible to superimpose a pattern with suppressed shading bias onto the uneven surface that is formed evenly across the entire surface of the resin layer, making the uneven surface less noticeable across the entire surface of the resin layer while maintaining drainage due to the uneven surface. [Effects of the Invention]

[0013] According to an aspect of the present invention, a bathroom floor capable of improving design is provided. [Brief explanation of the drawing]

[0014] [Figure 1] This is a perspective view showing a bathroom unit with a bathroom floor according to the embodiment. [Figure 2] Figures 2(a) and 2(b) are a plan view and a cross-sectional view showing a part of the bathroom floor according to the embodiment. [Figure 3] Figures 3(a) and 3(b) are enlarged cross-sectional views showing a portion of the bathroom floor according to the embodiment. [Figure 4] Figures 4(a) and 4(b) are explanatory diagrams illustrating the measurement conditions for luminance values. [Figure 5] This is an explanatory diagram illustrating the calculation of the pattern size range. [Figure 6] This is a graph illustrating a bandpass filter. [Figure 7]It is a schematic graph for explaining the handle size range. [Figure 8] Figures 8(a) to 8(g) are explanatory diagrams showing the convex size. [Figure 9] Figures 9(a) to 9(d) are schematic graphs showing the relationship between the handle size range and the convex size. [Figure 10] Figures 10(a) to 10(f) are schematic graphs showing another example of the handle size in the relationship between the handle size range and the convex size. [Figure 11] Figures 11(a) to 11(f) are schematic graphs showing another example of the relationship between the handle size range and the convex size. [Figure 12] Figures 12(a) and 12(b) are a plan view showing an example of the resin layer according to the embodiment and a histogram showing the distribution of luminance values in this resin layer. [Figure 13] Figures 13(a) and 13(b) are a plan view showing an example of the resin layer according to the reference example and a histogram showing the distribution of luminance values in this resin layer. [Figure 14] Figures 14(a) to 14(c) are plan views showing an example of the shape in a top view of the convex portion. [Figure 15] Figures 15(a) and 15(b) are plan views showing an example of the shape in a top view of the convex portion. [Figure 16] Figures 16(a) and 16(b) are plan views showing an example of the shape in a top view of the convex portion. [Figure 17] Figures 17(a) and 17(b) are plan views showing an example of the shape in a top view of the convex portion. [Figure 18] Figures 18(a) and 18(b) are plan views showing an example of the shape in a top view of the convex portion.

Mode for Carrying Out the Invention

[0015] Hereinafter, embodiments will be described with reference to the drawings. In each drawing, the same components are denoted by the same reference numerals, and detailed descriptions thereof are omitted as appropriate.

[0016] Figure 1 is a perspective view showing a bathroom unit with a bathroom floor according to the embodiment. As shown in Figure 1, the bathroom unit 500 according to this embodiment includes a bathroom floor 100, a bathtub 200, wall panels 300a to 300f, and a lighting device 400.

[0017] The bathtub 200 is installed on a mounting surface (for example, the floor of a building) S via support legs 210. The support legs 210 are located near the four corners on the underside of the bottom of the bathtub 200. A bolt is provided at the tip (lower end) of each support leg 210, and the height of the support leg 210 can be adjusted by rotating this bolt.

[0018] The bathroom floor 100 is installed on the mounting surface S via support legs 110. The bathroom floor 100 is installed next to the bathtub 200. The support legs 110 are provided on the underside of the bottom of the bathroom floor 100. A bolt is provided at the tip (lower end) of the support leg 110, and the height of the support leg 110 can be adjusted by rotating the bolt.

[0019] The surface 100a of the bathroom floor 100 has waterproof properties to prevent water from leaking outside the bathroom. In this specification, the term "water" includes not only cold water but also heated water.

[0020] A drain pipe 220 is provided near the boundary with the bathtub 200 on the underside (downward side) of the bathroom floor 100. A drain opening 100h is formed in the bathroom floor 100 near the boundary with the bathtub 200, and communicates with the drain pipe 220. The drain opening 100h may be covered with a removable lid. The area where the drain opening 100h is provided is recessed downwards, and the surface 100a of the bathroom floor 100 has a drainage slope that slopes downwards toward the drain opening 100h. In addition, a drain opening (not shown) provided at the bottom of the bathtub 200 is also connected to the drain pipe 220.

[0021] As shown by the dashed line in Figure 1, wall panels 300a to 300c are installed on the rim of the bathtub 200. Additionally, wall panels 300d to 300f are installed on the periphery of the bathroom floor 100. A bathroom door is attached to wall panel 300f via a door mounting frame (not shown).

[0022] A bath apron 230 is provided at the boundary between the bathtub 200 and the bathroom floor 100, covering the side of the bathtub 200 that faces the bathroom floor 100. Note that depending on the structure of the bathtub 200, a bath apron 230 may not be necessary.

[0023] Furthermore, a small panel 240 is provided between one longitudinal end of the bath apron 230 and the wall panel 300d. Also, a small panel 250 is provided between the other longitudinal end of the bath apron 230 and the wall panel 300f. The small panels 240 and 250 are provided as needed and can be omitted.

[0024] In this specification, the direction from wall panel 300f toward wall panel 300d is referred to as "front," the direction from wall panel 300d toward wall panel 300f is referred to as "rear," the direction from wall panel 300e toward wall panel 300b is referred to as "left side," and the direction from wall panel 300b toward wall panel 300e is referred to as "right side."

[0025] Figures 2(a) and 2(b) are a plan view and a cross-sectional view showing a part of the bathroom floor according to the embodiment. Figures 3(a) and 3(b) are enlarged cross-sectional views showing a portion of the bathroom floor according to the embodiment.

[0026] Figure 2(a) is an enlarged view of region A shown in Figure 1. Figure 2(b) is a cross-sectional view taken along the line B1-B2 shown in Figure 2(a). Figure 3(a) is a schematic enlarged view of region C shown in Figure 2(b). Figure 3(b) is an enlarged view of region D shown in Figure 2(b). As shown in Figures 2(a) and 2(b), the bathroom floor 100 according to this embodiment comprises a resin layer 10 and a cushion layer 20.

[0027] The surface 10a of the resin layer 10 is provided with irregularities 10b. Furthermore, the resin layer 10 has a pattern. A "pattern" is a design represented by two or more colors. In other words, the resin layer 10 has multiple parts of different colors. The pattern is created by variations in hue, lightness, saturation, and various shapes and figures of varying lengths and sizes. The pattern is, for example, a non-geometric design. The resin layer 10 contains resin.

[0028] In this example, the resin layer 10 has a main body portion 11 and a handle layer 12. The surface 11a of the main body portion 11 is provided with irregularities 11b. The handle layer 12 is provided on the main body portion 11 along the irregularities 11b of the main body portion 11. In other words, the surface 12a of the handle layer 12 is provided with irregularities 12b that are in line with the irregularities 11b of the main body portion 11. In this example, the irregularities 12b of the handle layer 12 correspond to the irregularities 10b of the resin layer 10.

[0029] The pattern layer 12 has a pattern. In other words, in this example, the main body 11 that imparts the uneven surface 10b to the resin layer 10 and the pattern layer 12 that imparts the pattern to the resin layer 10 are provided separately. The pattern layer 12 may be formed by being attached to the main body 11, or by being printed on the main body 11 by inkjet printing or the like. The pattern layer 12 may be a single layer or a structure in which multiple layers are laminated. In the case of a structure in which multiple layers are laminated, the patterns of each layer may be the same or different. Also, in the case of a structure in which multiple layers are laminated, the method of forming each layer may be the same or different. For example, a layer formed by attaching a film and a layer formed by inkjet printing may be laminated.

[0030] Furthermore, the pattern layer 12 is provided above or below the main body 11. In this example, the pattern layer 12 is provided above the main body 11. If the main body 11 is light-transmitting, the pattern layer 12 may be provided below the main body 11. In this case, the surface 11a of the main body 11 corresponds to the surface 10a of the resin layer 10.

[0031] The uneven surface 10b of the resin layer 10 has one or more recesses 50 and multiple protrusions 60. The recesses 50 are recessed downwards and communicate with the drain 100h. The recesses 50 branch and merge in a planar direction perpendicular to the vertical direction to form the protrusions 60, which are the parts other than the recesses 50. In other words, in a top view, at least a portion of the outer circumference of the protrusions 60 is surrounded by the recesses 50. To put it another way, the recesses 50 are located between two adjacent protrusions 60. The outer circumference of each protrusion 60 is surrounded by at least one of the recesses 50, the bathroom wall (300d~300f), the drain 100h, the bathtub 200, and the bathroom door. The width of the recesses 50 is, for example, 0.5 mm to 2.5 mm. The shape and arrangement of the protrusions 60 will be described later. The pattern layer 12 is provided above or below the recesses 50 and protrusions 60.

[0032] The cushion layer 20 is provided beneath the resin layer 10. The cushion layer 20 is elastically deformable. The cushion layer 20 provides cushioning to the bathroom floor 100. The cushion layer 20 includes, for example, a foamed resin.

[0033] By providing the cushioning layer 20, the cushioning properties of the bathroom floor 100 can be improved. This reduces the risk of damage to objects dropped onto the bathroom floor 100. The cushioning layer 20 can be provided as needed and is optional.

[0034] The bathroom floor 100 may further include a base layer provided beneath the cushion layer 20, or a metal frame provided beneath the base layer.

[0035] As shown in Figure 3(a), the recess 50 is the portion located below the reference plane RP. The convex portion 60 is the portion located above the reference plane RP. The recess 50 has, for example, a bottom portion 51 and a first curved portion 52. The bottom portion 51 is located at the very bottom of the recess 50. The first curved portion 52 is located between the bottom portion 51 and the convex portion 60. The first curved portion 52 forms a curved inclined surface extending from the bottom portion 51 to the convex portion 60. The center C1 of the radius of curvature of the first curved portion 52 is located on the recess 50 side. That is, the first curved portion 52 is curved so as to be convex downwards in cross-sectional view. The convex portion 60 has, for example, a top portion 61 and a second curved portion 62. The top portion 61 is located at the very top of the convex portion 60. The second curved portion 62 is located between the top portion 61 and the first curved portion 52. The second curved section 62 forms a curved inclined surface extending from the apex 61 to the first curved section 52 (recess 50). The center C2 of the radius of curvature of the second curved section 62 is located on the convex section 60 side. That is, the second curved section 62 is curved so as to be convex upward in cross-sectional view. The reference plane RP is located in the vertical center between the bottom 51 and the apex 61. In other words, the distance between the bottom 51 and the reference plane RP is equal to the distance between the apex 61 and the reference plane RP.

[0036] The first curved portion 52 is curved with a radius of curvature r1 in cross-sectional view. The second curved portion 62 is curved with a radius of curvature r2 in cross-sectional view. The radius of curvature r2 is preferably greater than or equal to the radius of curvature r1. It is more preferable that the radius of curvature r2 is greater than the radius of curvature r1. The radius of curvature r1 is, for example, 0.5 mm or more and 15 mm or less. The radius of curvature r2 is, for example, 10 mm or more and 25 mm or less. The inclination angle θ is, for example, 50 degrees or less, preferably 45 degrees or less, more preferably 30 degrees or less, and even more preferably 25 degrees or less. Such angles make the shadows of the irregularities 10b less noticeable. The shadows of the irregularities 10b refer to the darkened areas of the bathroom floor 100 caused by the irregularities 10b of the bathroom floor 100 when light from a bathroom lighting device 400 or the like shines on the bathroom floor 100.

[0037] When light hits the uneven surface 10b, a highlight is created on the second curved section 62, and the gradient width of the highlight on the uneven surface 10b is determined by the shape of the second curved section 62 of the convex section 60. That is, when the radius of curvature r2 of the second curved section 62 is small, the gradient width of the highlight becomes small, and the highlight becomes clearer. On the other hand, natural texture patterns such as wood grain and stone patterns, which are popular as patterns for bathroom floors 100, often have a matte texture, so if a natural texture pattern is combined with the uneven surface 10b, which has a clear highlight, it may appear glossy, and the realism of the natural texture pattern may be lost. Therefore, by making the radius of curvature r2 of the second curved section 62 greater than or equal to the radius of curvature r1 of the first curved section 52, it is possible to maintain the drainage function provided by the uneven surface 10b while making the gradient width of the highlight as large as possible, and thus making the highlight on the uneven surface 10b less noticeable, thereby maintaining the realism of the natural texture pattern.

[0038] In this example, an inclined surface 55 is provided between the first curved section 52 and the second curved section 62, extending in a straight line in cross-sectional view. The inclined surface 55 can be provided as needed and is optional. In other words, the first curved section 52 and the second curved section 62 may be continuous.

[0039] As shown in Figure 3(b), a coating layer 30 is provided on the resin layer 10. The coating layer 30 has, for example, transparent fine particles 31 and a hydrophilic layer 33. The transparent fine particles 31 are, for example, acrylic particles. The particle size of the transparent fine particles 31 is, for example, 5 μm to 200 μm. The hydrophilic layer 33 is provided on the pattern layer 12. The hydrophilic layer 33 contains, for example, sulfonic acid. The transparent fine particles 31 are provided inside the hydrophilic layer 33. The transparent fine particles 31 give fine irregularities to the surface 100a of the bathroom floor 100.

[0040] By providing a coating layer 30 containing transparent fine particles 31, the texture of the pattern can be made matte, enhancing the realism of the pattern. Furthermore, it can provide drainage while also serving as an anti-slip function for users when using the bathroom. The coating layer 30 can be provided as needed and is optional.

[0041] The inventors of this application focused on the relationship between the size of the unevenness 10b (convex size) in a top view and the size of the relatively darker patterns in the design, in order to make the unevenness 10b less visible. The size of the relatively darker patterns corresponds to the pattern size range SP described below. When calculating the pattern size range SP, the brightness value of the image of the bathroom floor 100 (resin layer 10) is measured.

[0042] Figures 4(a) and 4(b) are explanatory diagrams illustrating the measurement conditions for luminance values. Information taken in through the eyes is thought to be processed as two-dimensional information in the brain. It is believed that humans perceive the appearance and texture of patterns in three-dimensional reality through the shading and size of the patterns, and the brightness values ​​of images that reflect the shading and size of the textures and shadows.

[0043] As shown in Figure 4(a), a shooting area set on a part of the bathroom floor 100 is photographed from above. Based on the brightness value of the captured image, the pattern size range SP in that shooting area is calculated. The shooting area can be any one of the multiple shooting areas (1st to 17th shooting areas MR1 ​​to MR17) shown in Figure 4(a). The multiple shooting areas are N 200mm square areas (for example, N is an integer between 9 and 17) arranged so as not to overlap each other when viewed from above.

[0044] The first imaging area MR1 includes the center of the resin layer 10 in the front-to-back and left-to-right directions. The second imaging area MR2, third imaging area MR3, fourth imaging area MR4, fifth imaging area MR5, sixth imaging area MR6, seventh imaging area MR7, eighth imaging area MR8, and ninth imaging area MR9 are each arranged around the first imaging area MR1, adjacent to the first imaging area MR1. Hereinafter, the first to ninth imaging areas MR1 ​​to MR9 will be referred to as the central measurement area CM.

[0045] The 10th imaging area MR10 includes the center in the front-to-back direction between the rear end of the resin layer 10 and the rear end of the central measuring section CM, and is positioned to overlap with the 1st imaging area MR1 in the front-to-back direction. The 11th imaging area MR11 includes the center in the front-to-back direction between the front end of the resin layer 10 and the front end of the central measuring section CM, and is positioned to overlap with the 1st imaging area MR1 in the front-to-back direction.

[0046] The 12th imaging area MR12 includes the center in the left-right direction between the left edge of the resin layer 10 and the left edge of the central measurement unit CM, and is positioned to overlap with the first imaging area MR1 in the left-right direction. The 13th imaging area MR13 includes the center in the left-right direction between the right edge of the resin layer 10 and the right edge of the central measurement unit CM, and is positioned to overlap with the first imaging area MR1 in the left-right direction.

[0047] The 14th imaging area MR14 is positioned to overlap with the 10th imaging area MR10 in the left-right direction and with the 12th imaging area MR12 in the front-back direction. The 15th imaging area MR15 is positioned to overlap with the 11th imaging area MR11 in the left-right direction and with the 12th imaging area MR12 in the front-back direction. The 16th imaging area MR16 is positioned to overlap with the 10th imaging area MR10 in the left-right direction and with the 13th imaging area MR13 in the front-back direction. The 17th imaging area MR17 is positioned to overlap with the 11th imaging area MR11 in the left-right direction and with the 13th imaging area MR13 in the front-back direction.

[0048] The number of imaging areas can be changed, for example, depending on the size of the bathroom floor. In this embodiment, for example, at least one of the nine imaging areas (central measurement area CM) from the first to ninth imaging areas MR1 ​​to MR9 may be used as the measurement target. If the bathroom floor is small and imaging areas cannot be secured, the tenth to seventeenth imaging areas MR10 to MR17 may be omitted.

[0049] As shown in Figure 4(b), in each imaging area, an illumination device LD is placed on the resin layer 10, and an image is captured by a camera CR mounted on the illumination device LD. The imaging conditions are as follows. (Lighting device LD) Dome-shaped lighting device: HPD2-400SW manufactured by CCS Corporation Light intensity: 255 (Camera CR) Shutter speed: 1 / 30 second F-number: 18 ISO:200 White balance: Adjusted with a gray card with 18% reflectivity. Camera position: Looking into the LD (lamplight) from the top edge (height 205 mm) of the LD. Take the photo in this manner.

[0050] Figure 5 is an explanatory diagram illustrating the calculation of the pattern size range. As shown in Figure 5, a captured image CI is obtained by capturing a 200mm square shooting area (one of the 1st to 17th shooting areas MR1 ​​to MR17) in a top view of the bathroom floor. The captured image CI is a 512px vertical and 512px horizontal image. That is, the resolution of the captured image CI is 65.02 dpi, where 200mm equals 512px. When capturing the image, it is also acceptable to capture it at a resolution higher than the resolution where 200mm equals 512px and then downsample it.

[0051] As shown in Figure 5, the transformed image TI is calculated from the obtained captured image CI. The transformed image TI is obtained by performing a two-dimensional Fourier transform on the image obtained by converting the captured image CI to grayscale. The method of conversion to grayscale is not particularly limited, but for example, a weighted average method using NTSC coefficients can be used. The grayscale converted image can be an 8-bit image with 256 levels of pixel brightness values ​​ranging from 0 to 255. In the transformed image TI, a longer distance from the center indicates a higher frequency, and a higher brightness value indicates a larger frequency spectrum. The horizontal axis corresponds to the direction of the frequency components being horizontal to the image, and the vertical axis corresponds to the direction of the frequency components being vertical to the image.

[0052] The frequency is the number of times the pattern is repeated per side length of the image (i.e., 200 mm) (number of divisions: cycle / image). If the frequency of the pattern is f, then the length of the pattern (wavelength: λ mm) can be considered as λ = 200 / f.

[0053] Next, as shown in Figure 5, eight nth band-specific converted images TIn are calculated from the converted image TI. The eight nth band-specific converted images TIn are images obtained by applying each of the eight nth bandpass filters Fn to the converted image TI. In other words, an image (nth band-specific converted image TIn) is calculated by multiplying the pixel values ​​of the converted image TI by the pass rate determined for each nth bandpass filter Fn according to the frequency. Note that n is an integer from 1 to 8.

[0054] Specifically, the following are calculated: the first band-specific converted image TI1 obtained by applying the first bandpass filter F1 to the converted image TI; the second band-specific converted image TI2 obtained by applying the second bandpass filter F2 to the converted image TI; the third band-specific converted image TI3 obtained by applying the third bandpass filter F3 to the converted image TI; the fourth band-specific converted image TI4 obtained by applying the fourth bandpass filter F4 to the converted image TI; the fifth band-specific converted image TI5 obtained by applying the fifth bandpass filter F5 to the converted image TI; the sixth band-specific converted image TI6 obtained by applying the sixth bandpass filter F6 to the converted image TI; the seventh band-specific converted image TI7 obtained by applying the seventh bandpass filter F7 to the converted image TI; and the eighth band-specific converted image TI8 obtained by applying the eighth bandpass filter F8 to the converted image TI.

[0055] Next, as shown in Figure 5, eight nth size pattern images PIn are calculated from the eight nth band-specific transformation images TIn. The nth size pattern images PIn are images obtained by performing a two-dimensional inverse Fourier transform on the nth band-specific transformation image TIn and extracting only the real part.

[0056] Specifically, the first size-specific pattern image PI1 is obtained by inverse Fourier transforming the first band-specific transformation image TI1 and extracting only the real part; the second size-specific pattern image PI2 is obtained by inverse Fourier transforming the second band-specific transformation image TI2 and extracting only the real part; the third size-specific pattern image PI3 is obtained by inverse Fourier transforming the third band-specific transformation image TI3 and extracting only the real part; the fourth size-specific pattern image PI4 is obtained by inverse Fourier transforming the fourth band-specific transformation image TI4 and extracting only the real part; and The 5th size-specific pattern image PI5 is calculated by inverse Fourier transforming the 5th band-specific transformed image TI5 and extracting only the real part; the 6th size-specific pattern image PI6 is calculated by inverse Fourier transforming the 6th band-specific transformed image TI6 and extracting only the real part; the 7th size-specific pattern image PI7 is calculated by inverse Fourier transforming the 7th band-specific transformed image TI7 and extracting only the real part; and the 8th size-specific pattern image PI8 is calculated by inverse Fourier transforming the 8th band-specific transformed image TI8 and extracting only the real part.

[0057] For example, the eight n-th size pattern images PIn can be thought of as images obtained by decomposing the grayscale-converted captured image CI into eight parts according to the length of the pattern. For example, the first size pattern image PI1 represents the longest pattern among the eight classified patterns. For example, the eighth size pattern image PI8 represents the shortest pattern among the eight classified patterns.

[0058] Next, the common logarithm of the standard deviation of the luminance values, i.e., the variation of 512 × 512 luminance values ​​for each of the eight n-th size pattern images PIn, is calculated and defined as the standard deviation SDn for the eight n-th size patterns.

[0059] Specifically, the common logarithm of the standard deviation of the brightness values ​​of multiple pixels contained in the first size-specific pattern image PI1 is defined as the first size-specific pattern standard deviation SD1 of the first size-specific pattern image PI1. In this example, the first size-specific pattern standard deviation SD1 is 0.17. The common logarithm of the standard deviation of the brightness values ​​of multiple pixels contained in the second size-differentiated pattern image PI2 is defined as the second size-differentiated pattern standard deviation SD2 of the second size-differentiated pattern image PI2. In this example, the second size-differentiated pattern standard deviation SD2 is 0.69. The common logarithm of the standard deviation of the brightness values ​​of multiple pixels contained in the third size-specific pattern image PI3 is defined as the third size-specific pattern standard deviation SD3 of the third size-specific pattern image PI3. In this example, the third size-specific pattern standard deviation SD3 is 0.86. The common logarithm of the standard deviation of the luminance values ​​of multiple pixels contained in the fourth size-specific pattern image PI4 is defined as the fourth size-specific pattern standard deviation SD4 of the fourth size-specific pattern image PI4. In this example, the fourth size-specific pattern standard deviation SD4 is 0.90. The common logarithm of the standard deviation of the brightness values ​​of multiple pixels contained in the fifth size-specific pattern image PI5 is defined as the fifth size-specific pattern standard deviation SD5 of the fifth size-specific pattern image PI5. In this example, the fifth size-specific pattern standard deviation SD5 is 0.83. The common logarithm of the standard deviation of the brightness values ​​of multiple pixels contained in the sixth size-specific pattern image PI6 is defined as the sixth size-specific pattern standard deviation SD6 of the sixth size-specific pattern image PI6. In this example, the sixth size-specific pattern standard deviation SD6 is 0.70. The common logarithm of the standard deviation of the brightness values ​​of multiple pixels contained in the seventh size-specific pattern image PI7 is defined as the seventh size-specific pattern standard deviation SD7 of the seventh size-specific pattern image PI7. In this example, the seventh size-specific pattern standard deviation SD7 is 0.64. The common logarithm of the standard deviation of the brightness values ​​of multiple pixels contained in the eighth size-specific pattern image PI8 is defined as the eighth size-specific pattern standard deviation SD8 of the eighth size-specific pattern image PI8. In this example, the eighth size-specific pattern standard deviation SD8 is 0.57.

[0060] The standard deviation SDn for the nth size pattern is calculated from the brightness values ​​of the pixels in the convex 60 region of the nth size pattern image Pin. That is, a convex region image is created by cutting out the region containing only the convex 60 (the region containing the convex 60 but not the concave 50) from the nth size pattern image Pin, and the standard deviation SDn for the nth size pattern is calculated from this convex region image. The convex region image can be obtained by measuring the unevenness of the shooting area with a 3D scanner. For example, the same location as the shooting area is measured with a three-dimensional measuring machine (e.g., KEYENCE VL-500) to obtain shape information of the floor. Of these, the region lower than half of the height difference of the unevenness, or the region equal to or lower than half of the height difference of the unevenness, is defined as the region containing only the concave 50, and the region equal to or higher than half of the height difference of the unevenness, or the region higher than half of the height difference of the unevenness, is defined as the region containing only the convex 60. The convex region image is an image in which the brightness values ​​of pixels in the captured image in the region consisting only of concave parts 50 are converted to NotAna, while the brightness values ​​of pixels in the captured image in the region consisting only of convex parts 60 are left unchanged. By calculating the common logarithm of the variation in brightness values, i.e., the standard deviation, of the convex region image, the standard deviation SDn for each nth size pattern can be calculated.

[0061] Figure 6 is a graph illustrating a bandpass filter. In Figure 6, the horizontal axis represents frequency, and the vertical axis represents pass-through rate. The pass-through rate of the nth bandpass filter Fn is maximum when the frequency is 2 to the power of n. For example, the center of the passband of the nth bandpass filter Fn is 2 to the power of n. Note that the maximum pass-through rate for each nth bandpass filter Fn is 100%.

[0062] Specifically, the pass rate of the first bandpass filter F1 is maximum at a frequency of 2. The pass rate of the second bandpass filter F2 is maximum at a frequency of 4. The pass rate of the third bandpass filter F3 is maximum at a frequency of 8. The pass rate of the fourth bandpass filter F4 is maximum at a frequency of 16. The pass rate of the fifth bandpass filter F5 is maximum at a frequency of 32. The pass rate of the sixth bandpass filter F6 is maximum at a frequency of 64. The pass rate of the seventh bandpass filter F7 is maximum at a frequency of 128. The pass rate of the eighth bandpass filter F8 is maximum at a frequency of 256.

[0063] The frequency response of each nth bandpass filter is, for example, a Gaussian function with a center of 2 to the power of n. However, it is not limited to this; the frequency response of each nth bandpass filter may be a bell-shaped function as appropriate, for example, a sine wave (sine curve). The full width at half maximum (FMAX) of each nth bandpass filter is, for example, one octave.

[0064] The length range Sn of the nth bandpass filter is defined as the length range corresponding to the passband of the nth bandpass filter Fn. This length range Sn is, for example, the length range corresponding to the half-width of the passband of the nth bandpass filter. The length of the pattern in the nth size pattern image PIn is defined as the length range Sn.

[0065] For example, as shown in Figure 6, in the nth bandpass filter, the two frequencies at which the pass-through rate is half of the maximum value are the nth half-maximum low frequency fna and the nth half-maximum high frequency fnb. In this case, the length range Sn of the nth bandpass filter corresponds to a range where the pattern length of the nth half-maximum high frequency fnb is λnb (=200 / fnb) mm or more, and the pattern length of the nth half-maximum low frequency fna is less than λna (=200 / fna) mm. However, the length range of the nth bandpass filter does not have to be strictly between λnb and λna.

[0066] Specifically, the length range S1 of the first bandpass filter F1 is set to 50 mm or more and less than 200 mm, the length range S2 of the second bandpass filter F2 is set to 28.6 mm or more and less than 50 mm, the length range S3 of the third bandpass filter F3 is set to 16.7 mm or more and less than 28.6 mm, the length range S4 of the fourth bandpass filter F4 is set to 8.3 mm or more and less than 16.7 mm, the length range S5 of the fifth bandpass filter F5 is set to 4.3 mm or more and less than 8.3 mm, the length range S6 of the sixth bandpass filter F6 is set to 2.2 mm or more and less than 4.3 mm, the length range S7 of the seventh bandpass filter F7 is set to 1.1 mm or more and less than 2.2 mm, and the length range S8 of the eighth bandpass filter F8 is set to 0.6 mm or more and less than 1.1 mm.

[0067] Figure 7 is a schematic graph illustrating the pattern size range. The vertical axis in Figure 7 represents the standard deviation (SDn) of the pattern for each nth size. The upper horizontal axis in Figure 7 represents the pattern frequency, and the lower horizontal axis represents the pattern size (length). On the upper horizontal axis, the right side indicates a higher frequency, and on the lower horizontal axis, the right side indicates a smaller size.

[0068] The pattern size range SP in a single imaging area is defined as the sum of the length range Sn of the nth bandpass filter Fn applied to the transformed image TI when calculating each of the nth size pattern images PIn that have the 1st to 4th largest standard deviations among the eight nth size pattern standard deviations SDn. The pattern size range SP is calculated for each imaging area.

[0069] Specifically, in this example, the first to fourth largest standard deviations among the eight nth size-specific pattern standard deviations (SDn) are, in descending order: the fourth size-specific pattern standard deviation (SD4), the fifth size-specific pattern standard deviation (SD5), the third size-specific pattern standard deviation (SD3), and the sixth size-specific pattern standard deviation (SD6). The bandpass filter applied to the transformed image TI when calculating the fourth size-specific pattern image PI4, which has the largest fourth size-specific pattern standard deviation (SD4), is the fourth bandpass filter F4. The bandpass filter applied to the transformed image TI when calculating the fifth size-specific pattern image PI5, which has the second largest fifth size-specific pattern standard deviation (SD5), is the fifth bandpass filter F5. The bandpass filter applied to the transformed image TI when calculating the third size-specific pattern image PI3, which has the third largest third size-specific pattern standard deviation (SD3), is the third bandpass filter F3. The bandpass filter applied to the transformed image TI when calculating the sixth size-specific pattern image PI6, which has the fourth largest sixth size-specific pattern standard deviation SD6, is the sixth bandpass filter F6. Therefore, the pattern size range SP is the sum of the length range S4 of the fourth bandpass filter F4, the length range S5 of the fifth bandpass filter F5, the length range S3 of the third bandpass filter F3, and the length range S6 of the sixth bandpass filter F6. In other words, in this example, the pattern size range SP is between 2.2 mm and less than 28.6 mm.

[0070] A large standard deviation (SDn) of the pattern size in the nth size-specific pattern image PIn indicates that the difference in density is large and the pattern is easily noticeable in that nth size-specific pattern image PIn; in other words, the pattern is relatively darker within that nth size-specific pattern image PIn. Therefore, the pattern size range SP in the shooting area indicates the size of the dark pattern within that shooting area, that is, the size of the pattern that is easily recognized by the user.

[0071] Figures 8(a) to 8(g) are explanatory diagrams representing the convex size. The protrusion 60 has at least one of a first protrusion 81, a second protrusion 82, and a third protrusion 83. For example, the protrusion 60 has a first protrusion 81 and a second protrusion 82. For example, the protrusion 60 has a second protrusion 82 and a third protrusion 83.

[0072] Figure 8(a) shows the first protrusion 81. The first protrusion 81 is a protrusion 60 whose entire outer circumference is surrounded by the recess 50.

[0073] For example, the uneven surface 10b of the resin layer 10 has a plurality of first protrusions 81. Each first protrusion 81 has a first outer circumference. The entire first outer circumference is in contact with any one of the recesses 50. Note that there may be only one first protrusion 81, or none at all.

[0074] As shown in Figure 8(a), the first protrusion size, which indicates the size of the first protrusion 81, is represented by the length L1 of the short side of a virtual rectangle IR that is circumscribing the first protrusion 81, with the longest side being the maximum length of the first protrusion 81 in a top view.

[0075] Figures 8(b) to 8(d) show the second protrusion 82. The second protrusion 82 is a protrusion 60 in which a portion of the outer circumference is surrounded by a single recess 50, and the rest of the outer circumference is surrounded by at least one of the bathroom wall (wall panels 300d to 300f), drain 100h, bathtub 200, and bathroom door.

[0076] For example, the uneven surface 10b of the resin layer 10 has a plurality of second protrusions 82. Each second protrusion 82 has a second outer circumference. A portion of the second outer circumference is in contact with one of the recesses. The entirety of the second outer circumference, excluding the portion mentioned above, is in contact with at least one of the bathroom wall, drain 100h, bathtub 200, and bathroom door. Note that there may be only one second protrusion 82, or none at all.

[0077] As shown in Figures 8(b) to 8(d), the size of the second protrusion 82 is represented by the length L2 of the short side of a virtual rectangle IR that circumscribes the second protrusion 82, with the longest side being the maximum length of the second protrusion 82 in a top view.

[0078] Figures 8(e) to 8(g) show the third protrusion 83. The third protrusion 83 is a protrusion 60 in which a part of the outer circumference is surrounded by a plurality of recesses 50, and the remaining part of the outer circumference is surrounded by at least one of the bathroom wall (wall panels 300d to 300f), drain 100h, bathtub 200, and bathroom door.

[0079] For example, the uneven surface 10b of the resin layer 10 has a plurality of third protrusions 83. Each third protrusion 83 has a third outer circumference. A portion of the third outer circumference is in contact with a plurality of recesses spaced apart from each other. The entirety of the third outer circumference, excluding the portion mentioned above, is in contact with at least one of the bathroom wall, the drain 100h, the bathtub 200, and the bathroom door. Note that there may be only one third protrusion 83, or none at all.

[0080] As shown in Figures 8(e) to 8(g), the size of the third protrusion 83 is represented by the length L3, which is the minimum distance between the two recesses 50 that surround the third protrusion 83 and face each other when viewed from above. In other words, length L3 is the shortest distance between the two recesses 50 that are in contact with the outer circumference of the third protrusion 83 but are spaced apart from each other (not continuous).

[0081] In this specification, the first convex size, the second convex size, and the third convex size may be collectively referred to as "convex size."

[0082] Figures 9(a) to 9(d) are schematic graphs illustrating the relationship between the pattern size range and the convex size. Similar to Figure 7, in Figures 9(a) to 9(d), the vertical axis represents the value of the standard deviation SDn of the pattern by size, the first horizontal axis represents the pattern frequency, and the second horizontal axis represents the pattern size. In Figures 9(a) to 9(d), the pattern size range SP in the shooting area is the sum of length ranges S3, S4, S5, and S6. The shaded area represents the size range SC of more than half of the multiple protrusions 60 within the shooting area from which the pattern size range SP was calculated. In other words, within the shooting area, the number of protrusions 60 whose size falls within range SC is more than half of the total number of protrusions 60.

[0083] In Figure 9(a), the size range SC of the protrusions 60 is greater than or equal to the handle size range SP. That is, within a single imaging area, if we let Na1 be the number of first protrusions 81 whose first protrusion size (length L1) is greater than or equal to the handle size range SP, Na2 be the number of second protrusions 82 whose second protrusion size (length L2) is greater than or equal to the handle size range SP, and Na3 be the number of third protrusions 83 whose third protrusion size (length L3) is greater than or equal to the handle size range SP, and NT be the total number of multiple protrusions 60, then the sum of Na1, Na2, and Na3, NaS, is greater than or equal to half of NT (Na1 + Na2 + Na3 = NaS, NaS ≥ 0.5 × NT).

[0084] Note that "the convex size is greater than or equal to the handle size range SP" means that the convex size is greater than or equal to the minimum value of the handle size range SP (2.2 mm or more in this example). For example, if the convex size is greater than or equal to the handle size range SP, the convex size is either included in the handle size range SP or greater than the handle size range SP. Na1 is the number of first convex parts 81 having a first convex size greater than or equal to the minimum value of the handle size range SP. Na2 is the number of second convex parts 82 having a second convex size greater than or equal to the minimum value of the handle size range SP. Na3 is the number of third convex parts 83 having a third convex size greater than or equal to the minimum value of the handle size range SP.

[0085] In Figure 9(b), the size range SC of the protrusions 60 is included in the handle size range SP. That is, within a single imaging area, if Nb1 is the number of first protrusions 81 whose first protrusion size is included in the handle size range SP, Nb2 is the number of second protrusions 82 whose second protrusion size is included in the handle size range SP, Nb3 is the number of third protrusions 83 whose third protrusion size is included in the handle size range SP, and NT is the total number of multiple protrusions 60, then the sum of Nb1, Nb2, and Nb3, NbS, is more than half of NT (Nb1 + Nb2 + Nb3 = NbS, NbS ≥ 0.5 × NT).

[0086] In Figure 9(c), the size range SC of the protrusions 60 is larger than the handle size range SP. That is, within a single imaging area, if we let Nc1 be the number of first protrusions 81 whose first protrusion size is larger than the maximum value of the handle size range SP, Nc2 be the number of second protrusions 82 whose second protrusion size is larger than the maximum value of the handle size range SP, and Nc3 be the number of third protrusions 83 whose third protrusion size is larger than the maximum value of the handle size range SP, and NT be the total number of multiple protrusions 60, then the sum of Nc1, Nc2, and Nc3, NcS, is more than half of NT (Nc1 + Nc2 + Nc3 = NcS, NcS ≥ 0.5 × NT).

[0087] In Figure 9(d), the size range SC of the protrusions 60 is smaller than the handle size range SP. That is, within a single imaging area, if we let Nd1 be the number of first protrusions 81 whose first protrusion size is smaller than the minimum value of the handle size range SP, Nd2 be the number of second protrusions 82 whose second protrusion size is smaller than the minimum value of the handle size range SP, and Nd3 be the number of third protrusions 83 whose third protrusion size is smaller than the minimum value of the handle size range SP, and NT be the total number of multiple protrusions 60, then the sum of Nd1, Nd2, and Nd3, NdS, is more than half of NT (Nd1 + Nd2 + Nd3 = NdS, NdS ≥ 0.5 × NT).

[0088] The number of protrusions can be counted, for example, the number of protrusions that are entirely contained within a single imaging area. Alternatively, the number of protrusions can be counted the number of protrusions that are at least partially contained within a single imaging area.

[0089] A pattern is generally a combination of patterns of multiple sizes. As already mentioned, the pattern size range SP corresponds to the size of the pattern that is easily visible to the user within the shooting area. Here, if the convex size (concave / concave size) is smaller than the pattern size range, the shadows of the convex and concave areas will be more visible in the thinner parts of the pattern, making the convex and concave areas easier for the user to see. Conversely, if the convex size is included in the pattern size range, or larger than the pattern size range, the convex and concave areas tend to overlap with the pattern, making the convex and concave areas harder for the user to see.

[0090] Therefore, in this embodiment, as shown in the example in Figure 9(a), NaS ≥ 0.5 × NT. That is, within a single imaging area, the sum of the number of first protrusions 81 whose first protrusion size is greater than or equal to the pattern size range SP, the number of second protrusions 82 whose second protrusion size is greater than or equal to the pattern size range SP, and the number of third protrusions whose third protrusion size is greater than or equal to the pattern size range SP is greater than or equal to half of the total number of multiple protrusions 60.

[0091] In this way, by making the size of the protrusions 60 in more than half of the shooting area equal to or greater than the pattern size range SP, the unevenness becomes less visible to the user, and the design can be improved. For example, in a bathroom floor, it is possible to achieve both drainage due to the unevenness and a design aesthetic. For example, it is possible to improve the realism of a natural texture pattern while maintaining drainage. For example, NaS > 0.5 × NT may be used.

[0092] For example, if the size of the protrusions differs from the pattern size range SP, the user can more easily distinguish the shadows of the bumps from the pattern. Therefore, in this embodiment, it is more preferable that NbS ≥ 0.5 × NT, as shown in Figure 9(b). That is, within a single imaging area, it is preferable that the sum of the number of first protrusions 81 whose first protrusion size is included in the pattern size range SP, the number of second protrusions 82 whose second protrusion size is included in the pattern size range SP, and the number of third protrusions 83 whose third protrusion size is included in the pattern size range SP is more than half of the total number of protrusions. In this way, by making the size of the protrusions the same as the pattern size range SP for more than half of the protrusions 60 within the imaging area, the bumps blend in with the pattern, making it difficult to distinguish between the bumps and the pattern. In other words, the bumps can be hidden by the pattern, making them less noticeable. For example, NbS > 0.5 × NT may also be used.

[0093] Figures 5 to 9 illustrate the evaluation of the convex size and pattern size range in one imaging region. Similarly, the convex size and pattern size range SP may be compared in each of the N imaging regions described in Figure 4(a). The convex size and pattern size range SP are calculated and compared for each imaging region. For example, the number of imaging regions where NaS ≥ 0.5 × NT is satisfied is half (0.5 × N) or more of the N imaging regions, preferably all of them. For example, the number of imaging regions where NbS ≥ 0.5 × NT is half (0.5 × N) or more of the N imaging regions, preferably all of them.

[0094] Figures 10(a) to 10(f) and 11(a) to 11(f) are schematic graphs illustrating another example of the relationship between pattern size range and convex size. In Figures 10(a) to 10(f) and Figures 11(a) to 11(f), as in Figures 9(a) to 9(d), the vertical axis represents the standard deviation SDn of the nth size pattern, the first horizontal axis represents the pattern frequency, and the second horizontal axis represents the pattern size. The shaded area represents the size range SC of the protrusions 60.

[0095] In the examples in Figures 10(a) to 10(c), the first to fourth largest standard deviations among the eight size-specific pattern standard deviations SDn are, in descending order, the eighth size-specific pattern standard deviation SD8, the first size-specific pattern standard deviation SD1, the seventh size-specific pattern standard deviation SD7, and the second size-specific pattern standard deviation SD2. Therefore, in the examples in Figures 10(a) to 10(c), the pattern size range SP is the sum of the length range S8 of the eighth bandpass filter F8 used to calculate the eighth size-specific pattern image PI8, the length range S1 of the first bandpass filter F1 used to calculate the first size-specific pattern image PI1, the length range S7 of the seventh bandpass filter F7 used to calculate the seventh size-specific pattern image PI7, and the length range S2 of the second bandpass filter F2 used to calculate the second size-specific pattern image PI2.

[0096] In other words, in the examples shown in Figures 10(a) to 10(c), the pattern size range SP is the range of 0.6 mm or more and less than 2.2 mm, and the range of 28.6 mm or more and less than 200 mm. Thus, the pattern size range SP may include multiple discrete ranges.

[0097] In Figure 10(a), the size range SC of the protrusions 60 is greater than or equal to the pattern size range SP. That is, within the imaging area, the number of protrusions 60 whose size is greater than or equal to the minimum value of the pattern size range SP (NaS = Na1 + Na2 + Na3) is greater than or equal to half (0.5 × NT) of the total number of multiple protrusions 60.

[0098] In Figure 10(b), the size range SC of the protrusions 60 is included in the pattern size range SP. That is, in the imaging area, the number of protrusions 60 whose size is included in the pattern size range SP (total value NbS = Nb1 + Nb2 + Nb3) is more than half (0.5 × NT) of the total number of multiple protrusions 60.

[0099] In Figure 10(c), the size range SC of the protrusions 60 is smaller than the pattern size range SP. That is, within the imaging area, the number of protrusions 60 whose size is smaller than the minimum value of the pattern size range SP (NdS = Nd1 + Nd2 + Nd3) is more than half the total number of multiple protrusions 60 (0.5 × NT).

[0100] In this embodiment, the size range SC of the protrusions 60 is preferably greater than or equal to the pattern size range SP, as shown in Figure 10(a), and more preferably included within the pattern size range SP, as shown in Figure 10(b). This makes the unevenness less visible to the user on the bathroom floor, thereby improving the design.

[0101] In the examples in Figures 10(d) to 10(f), the first to fourth largest standard deviations among the eight size-specific pattern standard deviations SDn are, in descending order, the eighth size-specific pattern standard deviation SD8, the seventh size-specific pattern standard deviation SD7, the sixth size-specific pattern standard deviation SD6, and the fifth size-specific pattern standard deviation SD5. Therefore, in the examples in Figures 10(d) to 10(f), the pattern size range SP is the sum of the length ranges S8, S7, S6, and S5. In other words, the pattern size range SP in the examples in Figures 10(d) to 10(f) is 0.6 mm or more and less than 8.3 mm.

[0102] In Figure 10(d), the size range SC of the protrusion 60 is greater than or equal to the handle size range SP (NaS = Na1 + Na2 + Na3, NaS ≥ 0.5 × NT). In the example in Figure 10(e), the size range SC of the protrusion 60 is included in the handle size range SP (NbS = Nb1 + Nb2 + Nb3, NbS ≥ 0.5 × NT). In the example in Figure 10(f), the size range SC of the protrusion 60 is smaller than the handle size range SP (NdS = Nd1 + Nd2 + Nd3, NdS ≥ 0.5 × NT).

[0103] In this embodiment, the size range SC of the protrusions 60 is preferably greater than or equal to the pattern size range SP, as shown in Figure 10(d), and more preferably included within the pattern size range SP, as shown in Figure 10(e). This makes the unevenness less visible to the user on the bathroom floor, thereby improving the design.

[0104] In the examples in Figures 11(a) to 11(c), the first to fourth largest standard deviations among the eight size-specific pattern standard deviations SDn are, in descending order, the first size-specific pattern standard deviation SD1, the second size-specific pattern standard deviation SD2, the third size-specific pattern standard deviation SD3, and the fourth size-specific pattern standard deviation SD4. Therefore, in the examples in Figures 11(a) to 11(c), the pattern size range SP is the sum of the length ranges S1, S2, S3, and S4. In other words, the pattern size range SP in the examples in Figures 11(a) to 11(c) is 8.3 mm or more and less than 200 mm.

[0105] In Figure 11(a), the size range SC of the protrusion 60 is greater than or equal to the handle size range SP (NaS = Na1 + Na2 + Na3, NaS ≥ 0.5 × NT). In the example in Figure 11(b), the size range SC of the protrusion 60 is included in the handle size range SP (NbS = Nb1 + Nb2 + Nb3, NbS ≥ 0.5 × NT). In the example in Figure 11(c), the size range SC of the protrusion 60 is smaller than the handle size range SP (NdS = Nd1 + Nd2 + Nd3, NdS ≥ 0.5 × NT).

[0106] In this embodiment, the size range SC of the protrusions 60 is preferably greater than or equal to the pattern size range SP, as shown in Figure 11(a), and more preferably included within the pattern size range SP, as shown in Figure 11(b). This makes the unevenness less visible to the user on the bathroom floor, thereby improving the design.

[0107] In the examples in Figures 11(d) to 11(f), the first to fourth largest standard deviations among the eight size-specific pattern standard deviations SDn are, in descending order, the first size-specific pattern standard deviation SD1, the fifth size-specific pattern standard deviation SD5, the seventh size-specific pattern standard deviation SD7, and the third size-specific pattern standard deviation SD3. Therefore, in the examples in Figures 11(d) to 11(f), the pattern size range SP is the sum of the length ranges S1, S7, S5, and S3. In other words, the pattern size range SP in the examples in Figures 11(d) to 11(f) is the sum of the ranges of 50 mm to less than 200 mm, 1.1 mm to less than 2.2 mm, 4.3 mm to less than 8.3 mm, and 16.7 mm to less than 28.6 mm.

[0108] In Figure 11(d), the size range SC of the protrusion 60 is greater than or equal to the handle size range SP (NaS = Na1 + Na2 + Na3, NaS ≥ 0.5 × NT). In the example in Figure 11(e), the size range SC of the protrusion 60 is included in the handle size range SP (NbS = Nb1 + Nb2 + Nb3, NbS ≥ 0.5 × NT). In the example in Figure 11(f), the size range SC of the protrusion 60 is smaller than the handle size range SP (NdS = Nd1 + Nd2 + Nd3, NdS ≥ 0.5 × NT).

[0109] In this embodiment, the size range SC of the protrusions 60 is preferably greater than or equal to the pattern size range SP, as shown in Figure 11(d), and more preferably included within the pattern size range SP, as shown in Figure 11(e). This makes the unevenness less visible to the user on the bathroom floor, thereby improving the design.

[0110] To make the unevenness less visible to the user, it is preferable that the largest of the eight size-specific pattern standard deviations (SDn) is 1.4 or higher, and it is even more preferable that the fourth largest of the eight size-specific pattern standard deviations (SDn) is 1.4 or higher. Furthermore, to make the unevenness less visible to the user, it is preferable that the minimum brightness value of the pattern is 174 or lower. Moreover, to make the unevenness less visible to the user, it is even more preferable that the largest of the eight size-specific pattern standard deviations (SDn) is 1.4 or higher and the minimum brightness value of the pattern is 174 or lower.

[0111] It is preferable that at least one of the first, second, and third protrusion sizes is 40 mm or less. For example, if a plurality of protrusions 60 have a first protrusion 81 and a second protrusion 82, it is preferable that both the first and second protrusion sizes are 40 mm or less. For example, if a plurality of protrusions 60 have a second protrusion 82 and a third protrusion 83, it is preferable that both the second and third protrusion sizes are 40 mm or less.

[0112] The larger the size of the protrusions, the fewer the total number of protrusions 60 are in the user's field of vision, making the unevenness 10b less visible to the user. On the other hand, the larger the size of the protrusions, the fewer the recesses 50 are, which may reduce drainage performance. Therefore, by making at least one of the first, second, and third protrusion sizes 40 mm or less, it is possible to maintain drainage performance while making the unevenness 10b less noticeable across the entire surface of the resin layer 10.

[0113] For example, it is preferable that the size of the first protrusion is 40 mm or less in more than half of the multiple first protrusions 81 within a single imaging area. Preferably, it is preferable that the size of the first protrusion is 40 mm or less in 90% or more (more preferably all) of the first protrusions 81 within the imaging area. For example, it is preferable that the size of the second protrusions is 40 mm or less in more than half of the multiple second protrusions 82 within a single imaging area. Preferably, the size of the second protrusions is 40 mm or less in 90% or more (more preferably all) of the second protrusions 82 within the imaging area. For example, it is preferable that the size of the third protrusions is 40 mm or less in more than half of the multiple third protrusions 83 within a single imaging area. Preferably, it is preferable that the size of the third protrusions is 40 mm or less in 90% or more (more preferably all) of the third protrusions 83 within the imaging area.

[0114] Figures 12(a) and 12(b) are a plan view and a histogram showing the distribution of luminance values ​​in an example of a resin layer according to the embodiment. Figures 13(a) and 13(b) are a plan view and a histogram showing the distribution of luminance values ​​in a resin layer, respectively, representing an example of a resin layer related to the reference example. Figures 12(a), 12(b), 13(a), and 13(b) illustrate the method used to determine luminance values ​​from images captured using the method described above, specifically focusing on 17 imaging areas (1st to 17th imaging areas MR1 ​​to MR17). However, the number of imaging areas can be changed, for example, depending on the size of the bathroom floor. For instance, at least nine imaging areas (central measurement area CM), specifically the 1st to 9th imaging areas MR1 ​​to MR9, are the measurement targets. If the bathroom floor is small and sufficient imaging areas cannot be secured, the 10th to 17th imaging areas MR10 to MR17 may be omitted. Furthermore, in the explanations for Figures 12(a), 12(b), 13(a), and 13(b), the resolution of the captured images is assumed to be 65.02 dpi (512px = 200mm).

[0115] Figure 12(b) shows the histogram of the brightness values ​​of the region containing only the convex portion 60 in an image obtained by converting one of the 17 captured images obtained by photographing the resin layer 10 shown in Figure 12(a) using the method described above to 8-bit grayscale. Figure 13(b) shows the histogram of the brightness values ​​of the region containing only the convex portion 60 in an image obtained by converting one of the 17 captured images obtained by photographing the resin layer 10X shown in Figure 13(a) using the method described above to 8-bit grayscale. This "luminance value" is set as follows: "0" represents complete black (R:0, G:0, B:0) in the digital image data, and "255" represents complete white (R:255, G:255, B:255).

[0116] In the histograms of Figures 12(b) and 13(b), the region with a luminance value between 0 and 25 is defined as the first region R1, the region with a luminance value between 26 and 230 is defined as the second region R2, and the region with a luminance value between 231 and 255 is defined as the third region R3. The first region R1 is a region that is closer to black (i.e., has a low luminance value). The third region R3 is a region that is closer to white (i.e., has a high luminance value). The second region R2 is a region of intermediate colors (i.e., has a medium luminance value).

[0117] In the example in Figure 12(b), the number of pixels in the second region R2 is approximately 97% of the total number of pixels (i.e., the sum of the number of pixels in the first region R1, the second region R2, and the third region R3). In the example in Figure 13(b), the number of pixels in the second region R2 is approximately 45% of the total number of pixels (i.e., the sum of the number of pixels in the first region R1, the second region R2, and the third region R3). Preferably, the number of pixels in the second region R2 exceeds 50% of the total number of pixels.

[0118] For example, in one of the N grayscale-converted images, it is desirable that the number of pixels in the second region R2 exceeds 50% of the total number of pixels. It is even more desirable that in all N grayscale-converted images, the number of pixels in the second region R2 exceeds 50% of the total number of pixels.

[0119] Because the shadows created by the bumps 10b have a gradient, when the captured image CI is converted to grayscale, the proportion of intermediate colors in the luminance value histogram tends to increase due to the shadows of the bumps 10b. Therefore, by adopting a pattern with a high proportion of intermediate colors, such that the number of pixels in the second intermediate color region R2 of the luminance value histogram of the convex region image exceeds 50% of the total number of pixels, the characteristics of the pattern's shading can be made to resemble the characteristics of the shading of the bumps 10b. This makes the shadows of the bumps 10b appear as a pattern, making the bumps 10b less noticeable.

[0120] Furthermore, the standard deviation SDa is calculated from the brightness values ​​of the pixels in the region of only the convex portion 60 in the captured image (for example, the image after grayscale conversion) corresponding to each shooting region. As the standard deviation SDa, 17 standard deviations are obtained corresponding to the 1st to 17th shooting regions MR1 ​​to MR17. When the standard deviations of these 17 standard deviations SDa are taken as the secondary standard deviation SDb, it is preferable that the secondary standard deviation SDb is 1 or less.

[0121] To obtain sufficient drainage, it is preferable to form the uneven surface 10b evenly across the entire surface of the resin layer 10. By making the standard deviation of the luminance values ​​corresponding to the 17 shooting areas (first-order standard deviation SDa) (second-order standard deviation SDb) 1 or less, the density of the pattern can be made more uniform across the entire surface of the resin layer 10. As a result, a pattern with suppressed density bias can be superimposed on the uneven surface 10b that is formed evenly across the entire surface of the resin layer 10, making the uneven surface 10b less noticeable across the entire surface of the resin layer 10 while still providing drainage due to the uneven surface 10b.

[0122] The shape of the protrusions 60 of the resin layer 10 will be described below. Figures 14(a) to 14(c) are plan views showing an example of the shape of the convex portion when viewed from above. As shown in Figures 14(a) and 14(b), the shape of the convex portion 60 in a top view may include, for example, a curve. The shape of the convex portion 60 in a top view may consist only of a curve, as shown in Figure 14(a), or only a part of it may be a curve, as shown in Figure 14(b). Also, as shown in Figure 14(c), the shape of the convex portion 60 in a top view may include, for example, a straight line. In the example of Figure 14(c), the shape of the convex portion 60 in a top view consists only of a straight line. It is preferable that at least one of the shapes of the convex portion 60 in a top view includes a curve.

[0123] The shape of at least one of the protrusions 60 in a top view includes a curve, which allows the appearance of the protrusions 10b to match a natural texture pattern with fewer straight lines, while still providing drainage through the protrusions 10b, thereby making the protrusions 10b less noticeable.

[0124] Furthermore, the shape of the protrusions 60 when viewed from above is preferably irregular. In other words, it is preferable that the protrusions 60 are not a series of protrusions 60 having a specific shape. It is preferable that adjacent protrusions 60 have different shapes, or even if they have the same shape, their orientation and size may differ. In other words, it is preferable that the protrusions 60 do not give the user the impression of having a geometric shape or arrangement.

[0125] The shadows cast by the uneven surfaces 10b are determined by their shape; therefore, if the shape of the uneven surfaces 10b is regular, the shadows cast by the uneven surfaces 10b will also be regular. On the other hand, natural textures such as wood grain and stone patterns, which are popular as patterns for bathroom floors 100, are irregular. Therefore, when the uneven surfaces 10b, which have a regular shape, are superimposed on a natural texture pattern, the shadows cast by the uneven surfaces 10b become noticeable. In response to this, by making the shape of the multiple protrusions 60 in a top view irregular, the shadows cast by the uneven surfaces 10b can be made irregular. This allows for drainage by the uneven surfaces 10b, while making the uneven surfaces 10b less noticeable when superimposed on a natural texture pattern.

[0126] Figures 15(a) and 15(b) are plan views showing an example of the shape of the convex portion when viewed from above. In the examples shown in Figures 15(a) and 15(b), the entire outer circumference of the protrusion 60 is surrounded by the recess 50. In the example shown in Figure 15(a), protrusions 60b to 60e are provided around protrusion 60a. That is, protrusion 60a is surrounded by protrusions 60b to 60e. Protrusion 60a is adjacent to each of protrusions 60b to 60e. The top view shapes of protrusions 60a to 60e each include a curve. The top view shape of protrusion 60a is different from the top view shapes of protrusions 60b to 60e.

[0127] In the example shown in Figure 15(b), protrusions 60b to 60g are provided around protrusion 60a. That is, protrusion 60a is surrounded by protrusions 60b to 60g. Protrusion 60a is adjacent to each of protrusions 60b to 60g. The top view shapes of protrusions 60a to 60g each consist of straight lines. The top view shape of protrusion 60a is different from the top view shapes of protrusions 60b to 60g.

[0128] Thus, for any convex portion 66 (convex portion 60a) and an adjacent convex portion 67 (convex portion 60b) adjacent to any convex portion 66, the shape of the adjacent convex portion 67 in a top view is different from, for example, the shape of the arbitrary convex portion 66 in a top view. In other words, the shape of the adjacent convex portion 67 in a top view is neither congruent nor similar to, for example, the shape of the arbitrary convex portion 66 in a top view. Congruence means that the shape and convex size are the same, and this includes the rotated or mirrored versions of the shape in a top view. Similarity means that the shape is the same but the convex size is different, and this also includes the rotated or mirrored versions of the shape in a top view.

[0129] By making the shape of adjacent protrusions 67 in a top view different from the shape of any protrusion 66 in a top view, the shading of the unevenness 10b can be made irregular. This allows for drainage through the unevenness 10b, while making the unevenness 10b less noticeable when superimposed on a natural texture pattern.

[0130] For example, any convex portion 66 and adjacent convex portions 67 are, respectively, a first convex portion 81 whose first convex size is greater than or equal to the handle size range SP, a second convex portion 82 whose second convex size is greater than or equal to the handle size range SP, and a third convex portion 83 whose third convex size is greater than or equal to the handle size range SP.

[0131] Figures 16(a) and 16(b) are plan views showing an example of the shape of the convex portion when viewed from above. In the examples shown in Figures 16(a) and 16(b), the entire outer circumference of the protrusion 60 is surrounded by the recess 50.

[0132] In the example shown in Figure 16(a), protrusions 60b to 60g are provided around protrusion 60a. That is, protrusion 60a is surrounded by protrusions 60b to 60g. Protrusion 60a is adjacent to each of protrusions 60b to 60g. The top view shapes of protrusions 60a to 60g each include a curve. The top view shapes of protrusions 60b to 60g are, respectively, rotations of the top view shape of protrusion 60a around the vertical axis, or mirror images. The protrusion sizes of protrusions 60b to 60g are the same as the protrusion size of protrusion 60a.

[0133] In this specification, "same convex size" means that the convex size of one is within ±10% of the convex size of the other. In other words, in this specification, "different convex sizes" means that the convex size of one exceeds ±10% of the convex size of the other.

[0134] In the example shown in Figure 16(b), protrusions 60b to 60h are provided around protrusion 60a. That is, protrusion 60a is surrounded by protrusions 60b to 60h. Protrusion 60a is adjacent to each of protrusions 60b to 60h. The top view shapes of protrusions 60a to 60h each consist of straight lines. The top view shapes of protrusions 60b to 60h are either rotated or mirror images of the top view shape of protrusion 60a around the vertical axis. The top view sizes of protrusions 60b to 60h are the same as the top view size of protrusion 60a.

[0135] Thus, for any convex portion 66 (convex portion 60a) and an adjacent convex portion 67 (convex portion 60b) adjacent to any convex portion 66, the shape of the adjacent convex portion 67 in a top view is, for example, the result of rotating the shape of the arbitrary convex portion 66 in a top view around the vertical axis, or it is a mirror image of the shape of the arbitrary convex portion 66 in a top view. The size of the adjacent convex portion 67 in a top view is, for example, the same as the size of the arbitrary convex portion 66 in a top view. In other words, the shape of the adjacent convex portion 67 in a top view is, for example, congruent to the shape of the arbitrary convex portion 66 in a top view, and is either rotated around the vertical axis or is a mirror image.

[0136] By making the shape of the adjacent protrusion 67 in a top view the same as the shape of any protrusion 66 in a top view rotated around the vertical axis, or a mirror image of the shape of any protrusion 66 in a top view, and by making the size of the adjacent protrusion 67 in a top view the same as the size of any protrusion 66 in a top view, the shading of the unevenness 10b can be made irregular. This allows for drainage properties provided by the unevenness 10b, while making the unevenness 10b less noticeable when superimposed on a natural texture pattern.

[0137] Furthermore, the shape of one of the convex portions 60 adjacent to any convex portion 66, other than the adjacent convex portion 67, in a top view may be the same as or different from the shape of the convex portion 66 in a top view. Also, the size of one of the convex portions 60 adjacent to any convex portion 66, other than the adjacent convex portion 67, in a top view may be the same as or different from the size of the convex portion 66 in a top view.

[0138] Figures 17(a) and 17(b) are plan views showing an example of the shape of the convex portion when viewed from above. In the examples shown in Figures 17(a) and 17(b), the entire outer circumference of the protrusion 60 is surrounded by the recess 50.

[0139] In the example shown in Figure 17(a), protrusions 60b to 60j are provided around protrusion 60a. That is, protrusion 60a is surrounded by protrusions 60b to 60j. Protrusion 60a is adjacent to each of protrusions 60b to 60j. The top view shapes of protrusions 60a to 60j each include a curve. The top view shapes of protrusions 60b to 60j are the same as the top view shapes of protrusion 60a. The top view sizes of protrusions 60b to 60d are each smaller than the top view size of protrusion 60a. The top view sizes of protrusions 60e to 60j are the same as the top view size of protrusion 60a.

[0140] In the example shown in Figure 17(b), protrusions 60b to 60e are provided around protrusion 60a. That is, protrusion 60a is surrounded by protrusions 60b to 60e. Protrusion 60a is adjacent to each of protrusions 60b to 60e. The top view shape of protrusions 60a to 60e consists of straight lines. The top view shape of protrusions 60b to 60e is the same as the top view shape of protrusion 60a. The top view size of protrusions 60b to 60e is larger than the top view size of protrusion 60a.

[0141] Thus, for any convex portion 66 (convex portion 60a) and an adjacent convex portion 67 (convex portion 60b) adjacent to any convex portion 66, the shape of the adjacent convex portion 67 in a top view is, for example, the same as the shape of the arbitrary convex portion 66 in a top view. The size of the adjacent convex portion 67 in a top view is different from the size of the arbitrary convex portion 66 in a top view. In other words, the shape of the adjacent convex portion 67 in a top view is similar to the shape of the arbitrary convex portion 66 in a top view.

[0142] By making the shape of adjacent protrusions 67 in a top view the same as the shape of any protrusion 66 in a top view, and by making the size of adjacent protrusions 67 in a top view different from the size of any protrusion 66 in a top view, the shading of the unevenness 10b can be made irregular. This allows for drainage properties provided by the unevenness 10b, while making the unevenness 10b less noticeable when superimposed on a natural texture pattern.

[0143] Figures 18(a) and 18(b) are plan views showing an example of the shape of the convex portion when viewed from above. In the examples shown in Figures 18(a) and 18(b), the entire outer circumference of the protrusion 60 is surrounded by the recess 50. In the example shown in Figure 18(a), protrusions 60b to 60e are provided around protrusion 60a. That is, protrusion 60a is surrounded by protrusions 60b to 60e. Protrusion 60a is adjacent to each of protrusions 60b to 60e. The top view shapes of protrusions 60a to 60e each include a curve. The top view shapes of protrusions 60b to 60e are either rotated or mirror images of the top view shape of protrusion 60a around the vertical axis. The top view sizes of protrusions 60b to 60e are each larger than the top view size of protrusion 60a.

[0144] In the example shown in Figure 18(b), protrusions 60b to 60e are provided around protrusion 60a. That is, protrusion 60a is surrounded by protrusions 60b to 60e. Protrusion 60a is adjacent to each of protrusions 60b to 60e. The top view shapes of protrusions 60a to 60e each consist of straight lines. The top view shapes of protrusions 60b to 60e are either rotated or mirror images of the top view shape of protrusion 60a around the vertical axis. The top view sizes of protrusions 60b to 60e are each larger than the top view size of protrusion 60a.

[0145] Thus, for any convex portion 66 (convex portion 60a) and an adjacent convex portion 67 (convex portion 60b) adjacent to any convex portion 66, the shape of the adjacent convex portion 67 in a top view is, for example, the result of rotating the shape of the arbitrary convex portion 66 in a top view around the vertical axis, or a mirror image of the shape of the arbitrary convex portion 66 in a top view. The size of the adjacent convex portion 67 in a top view is, for example, different from the size of the arbitrary convex portion 66 in a top view. In other words, the shape of the adjacent convex portion 67 in a top view is, for example, similar to the shape of the arbitrary convex portion 66 in a top view, and is either rotated around the vertical axis or a mirror image.

[0146] By making the size of adjacent protrusions 67 in a top view different from the size of any protrusion 66 in a top view, and further by making the shape of adjacent protrusions 67 in a top view the same as the shape of any protrusion 66 in a top view rotated around the vertical axis, or a mirror image of the shape of any protrusion 66 in a top view, the shading of the unevenness 10b can be made more irregular. This allows for drainage properties provided by the unevenness 10b, while making the unevenness 10b less noticeable when superimposed on a natural texture pattern.

[0147] Furthermore, a convex portion 60 that is not missing within the range of the shooting area is called a "convex portion 60 that is entirely included in the shooting area." For example, if the range shown in the example of Figure 15(a) is considered one shooting area, then convex portions 60a, 60e, and 60d correspond to "convex portions 60 that are entirely included in the shooting area." On the other hand, convex portions 60b and 60c do not correspond to "convex portions 60 that are entirely included in the shooting area."

[0148] The embodiment may include the following configurations. (Composition 1) A bathroom floor comprising a resin layer having a patterned layer, The surface of the resin layer is provided with irregularities including a plurality of protrusions, The aforementioned multiple protrusions are, The first convex portion is surrounded entirely by a concave portion, A second protrusion, the outer perimeter of which is partly surrounded by a recess, and the other part of which is surrounded by at least one of the bathroom wall, drain, bathtub, and bathroom door, A third protrusion is formed where a portion of the outer perimeter is surrounded by multiple recesses, and the rest of the outer perimeter is in contact with at least one of the bathroom wall, drain, bathtub, and bathroom door. Having at least one of the following, The image obtained by taking a 200mm square image of the bathroom floor from above, with a resolution of 65.02 dpi, is converted to grayscale and then subjected to a 2D Fourier transform. This image is then used as the converted image. Each of the eight nth bandpass filters (where n is an integer from 1 to 8), whose frequency at which the pass-through rate is maximized is 2 to the power of n, is applied to the aforementioned transformed image to obtain eight nth band-specific transformed images. The inverse Fourier transform obtained from each of the eight aforementioned n-band-specific transformed images is used to create eight n-th size patterned images. The common logarithm of the standard deviation of the brightness values ​​of each of the eight aforementioned n-size pattern images is defined as the eight n-th size pattern standard deviations. The length range corresponding to the passband of the aforementioned n-bandpass filter is defined as the length range of the n-th bandpass filter. When calculating each of the nth size pattern images having the 1st to 4th largest standard deviations among the eight aforementioned n size pattern standard deviations, the combined range of the four length ranges of the aforementioned nth bandpass filter applied to the transformed image is defined as the pattern size range in the shooting area. When viewed from above, the maximum length of the first protrusion is defined as the long side, and the length of the short side of the virtual rectangle circumscribing the first protrusion is defined as the first protrusion size of the first protrusion; when viewed from above, the maximum length of the second protrusion is defined as the long side, and the length of the short side of the virtual rectangle circumscribing the second protrusion is defined as the second protrusion size of the second protrusion; and when viewed from above, the minimum distance between two opposing recesses surrounding the third protrusion is defined as the third protrusion size of the third protrusion, A bathroom floor characterized in that, in at least one of the N (N is an integer of 9 or more) of the photographic areas arranged so as not to overlap when viewed from above, the sum of the number of first protrusions whose first protrusion size is equal to or greater than the pattern size range, the number of second protrusions whose second protrusion size is equal to or greater than the pattern size range, and the number of third protrusions whose third protrusion size is equal to or greater than the pattern size range is equal to or greater than half of the total number of the multiple protrusions in the photographic area. (Configuration 2) The bathroom floor according to Configuration 1, characterized in that, in at least one of the N (N is an integer of 9 or more) of the photographic areas arranged so as not to overlap each other in a top view of the bathroom floor, the sum of the number of first protrusions whose first protrusion size is included in the pattern size range, the number of second protrusions whose second protrusion size is included in the pattern size range, and the number of third protrusions whose third protrusion size is included in the pattern size range is more than half of the total number of protrusions in the photographic area. (Composition 3) The plurality of protrusions each have an arbitrary protrusion and an adjacent protrusion adjacent to the arbitrary protrusion in a top view, The bathroom floor according to configuration 1 or 2, characterized in that the shape of the adjacent protrusions in a top view is not congruent to the shape of any of the protrusions in a top view. (Composition 4) In the grayscale image obtained by converting the aforementioned captured image to 8-bit grayscale, if the region of the protruding part is defined as the first region in which the brightness value is between 0 and 25, the second region in which the brightness value is between 26 and 230, and the third region in which the brightness value is between 231 and 255, In the top view of the bathroom floor, in at least one of the N (N is an integer of 9 or more) imaging areas arranged so as not to overlap each other, the number of pixels in the second area exceeds 50% of the sum of the number of pixels in the first area, the number of pixels in the second area, and the number of pixels in the third area. A bathroom floor according to any one of configurations 1 to 3, characterized in that when the standard deviation calculated from the brightness values ​​of the pixels in the convex region of each of the N images is taken as the first standard deviation, and the standard deviation of the N first standard deviations is taken as the second standard deviation, the second standard deviation is 1 or less.

[0149] Embodiments of the present invention have been described above. However, the present invention is not limited to these descriptions. Modifications made by those skilled in the art to the above-described embodiments are also included within the scope of the present invention, as long as they retain the features of the present invention. For example, the shape, dimensions, materials, arrangement, and installation configuration of each element of a bathroom unit, bathroom floor, etc., are not limited to those exemplified and can be modified as appropriate. Furthermore, the elements of each of the embodiments described above can be combined to the extent technically possible, and these combinations are also included within the scope of the present invention insofar as they include the features of the present invention. [Explanation of symbols]

[0150] 10, 10X resin layer 10a surface 10b unevenness 11 Main body 11a surface 11b Unevenness 12 pattern layer 12a surface 12b Unevenness 20 cushioning layers 30 coating layers 31 Fine particles 33 Hydrophilic layer 50 recesses 51 Bottom 52 First curved section 55 Slope 60, 60a~60j convex part 61 Top 62 Second Curve Section 66 Convex part 67 Adjacent protrusions 81 First protrusion 82 Second protrusion 83 Third protrusion θ Tilt angle λna, λnb length 100 bathroom floor 100a surface 100h Drain port 110 Support legs 200 Bathtubs 210 Support legs 220 Drainage piping 230 Bath Apron 240, 250 small panels 300a~300f wall panels 400 Lighting devices 500 Bathroom Unit A, C area C1, C2 center CI (Civil Identity) Photographed Images CM center measurement part CR camera D area F1-F8 1st-8th bandpass filters Fn nth bandpass filter H1-H8, Hn histograms IR virtual rectangle L1, L2, L3 Length LD lighting equipment MR1-MR17: Imaging regions 1-17 PI1~PI8: Pattern images for each size (1st to 8th) PIn nth size different pattern image R1~R3 ​​1st~3rd area RP reference plane S Installation surface S1~S8 Length range SC protrusion size range SD1~SD8: Standard deviation of patterns by size (1st to 8th sizes) SDa first standard deviation SDb Second standard deviation SDn Standard deviation of nth size and pattern SP Pattern Size Range Sn Length range of the nth bandpass filter TI converted image TI1~TI8 Conversion images for each of the 1st to 8th bandwidths TIn nth Band-Specific Transformed Image fna nth half-value low frequency fnb High frequency at half maximum r1 radius of curvature r2 radius of curvature

Claims

1. A bathroom floor comprising a resin layer having a patterned layer, The surface of the resin layer is provided with irregularities including a plurality of protrusions, The aforementioned multiple protrusions are, The first convex portion is surrounded entirely by a concave portion, A second protrusion, the outer perimeter of which is partly surrounded by a recess, and the other part of which is surrounded by at least one of the bathroom wall, drain, bathtub, and bathroom door, A third protrusion, the outer perimeter of which is partly surrounded by multiple recesses, and the remaining part of which is surrounded by at least one of the bathroom wall, drain, bathtub, and bathroom door, Having at least one of the following, The image obtained by taking a 200 mm square image of the bathroom floor from above, with a resolution of 65.02 dpi, is converted to grayscale and then subjected to a 2D Fourier transform. This image is used as the converted image. Each of the eight nth bandpass filters (where n is an integer from 1 to 8), whose frequency at which the pass-through rate is maximized is 2 to the power of n, is applied to the aforementioned transformed image to obtain eight nth band-specific transformed images. The images obtained by inverse Fourier transforming each of the eight aforementioned n-band-specific transformation images are designated as eight n-th size-specific pattern images. The common logarithm of the standard deviation of the brightness values ​​of each of the eight aforementioned n-size pattern images is defined as the eight n-th size pattern standard deviations. The length range corresponding to the passband of the nth bandpass filter is defined as the length range of the nth bandpass filter. When calculating each of the nth size pattern images having the 1st to 4th largest standard deviations among the eight n-size pattern standard deviations, the combined range of the four length ranges of the nth bandpass filter applied to the transformed image is defined as the pattern size range in the shooting area. When viewed from above, the maximum length of the first protrusion is defined as the long side, and the length of the short side of the virtual rectangle circumscribing the first protrusion is defined as the first protrusion size of the first protrusion; when viewed from above, the maximum length of the second protrusion is defined as the long side, and the length of the short side of the virtual rectangle circumscribing the second protrusion is defined as the second protrusion size of the second protrusion; and when viewed from above, the minimum distance between two opposing recesses surrounding the third protrusion is defined as the third protrusion size of the third protrusion, A bathroom floor characterized in that, in at least one of the N (N is an integer of 9 or more) of the photographic areas arranged so as not to overlap when viewed from above, the sum of the number of first protrusions whose first protrusion size is equal to or greater than the pattern size range, the number of second protrusions whose second protrusion size is equal to or greater than the pattern size range, and the number of third protrusions whose third protrusion size is equal to or greater than the pattern size range is equal to or greater than half of the total number of the multiple protrusions in the photographic area.

2. The bathroom floor according to claim 1, characterized in that, in at least one of the N (N is an integer of 9 or more) of the photographic areas arranged so as not to overlap each other in a top view of the bathroom floor, the sum of the number of first protrusions whose first protrusion size is included in the pattern size range, the number of second protrusions whose second protrusion size is included in the pattern size range, and the number of third protrusions whose third protrusion size is included in the pattern size range is more than half of the total number of protrusions in the photographic area.

3. The plurality of protrusions each have an arbitrary protrusion and an adjacent protrusion adjacent to the arbitrary protrusion in a top view, The bathroom floor according to claim 1 or 2, characterized in that the shape of the adjacent protrusions in a top view is not congruent to the shape of any of the protrusions in a top view.

4. In the grayscale image obtained by converting the aforementioned captured image to 8-bit grayscale, if the region of the protruding part is defined as the first region in which the brightness value is 0 or more and 25 or less, the second region in which the brightness value is 26 or more and 230 or less, and the third region in which the brightness value is 231 or more and 255 or less, In a top view of the bathroom floor, in at least one of the N (N is an integer of 9 or more) imaging areas arranged so as not to overlap each other, the number of pixels in the second area exceeds 50% of the sum of the number of pixels in the first area, the number of pixels in the second area, and the number of pixels in the third area. The bathroom floor according to claim 1 or 2, characterized in that when the standard deviation calculated from the brightness values ​​of the pixels in the convex region of each of the N images is taken as the first standard deviation, and the standard deviation of the N first standard deviations is taken as the second standard deviation, the second standard deviation is 1 or less.

Images