A water ink cloud pattern and a design method thereof
By designing camouflage patterns using cloud-like spots and ink-like particles to simulate environmental backgrounds, the adaptability of existing camouflage patterns to complex backgrounds has been solved, achieving natural transitions and high concealment.
Patent Information
- Application Number
- CN202610330570.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-18
- Publication Date
- 2026-06-12
Smart Images
Figure CN122199706A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of camouflage pattern design technology, specifically relating to an ink-wash cloud pattern camouflage pattern and its design method. Background Technology
[0002] Camouflage patterns are a concealment technique that uses colors and patterns to simulate environmental features, such as protective camouflage, imitation camouflage, and deformed camouflage. They primarily rely on color block combinations, and because the edges are not always natural, they can only adapt to relatively simple environmental backgrounds. With the rapid development of visual reconnaissance technology, traditional camouflage is gradually being replaced by more advanced small-dot camouflage (such as digital camouflage and star pattern camouflage).
[0003] Small-spot camouflage utilizes pixel unit arrangement and spatial color mixing principles to blur boundaries at close range, simulating natural textures; at long range, it mixes colors to form large spots, segmenting the target's shape. However, existing small-spot camouflage has relatively abrupt transitions between different colored spots, and the limited number of colors makes it difficult to adapt to complex color-matching backgrounds.
[0004] In view of this, the present invention is hereby proposed. Summary of the Invention
[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a water-ink cloud pattern camouflage pattern and its design method to solve the problem that existing camouflage patterns are difficult to adapt to complex color backgrounds.
[0006] To achieve the above objectives, the present invention provides the following technical solution: This ink-wash cloud pattern camouflage design method involves collecting background patterns of environmental features and analyzing the shape and texture characteristics of the background spots, combining cloud-shaped spots and ink particles to generate camouflage patterns with blurred boundaries and natural transitions between spots of different colors.
[0007] Furthermore, the design method uses rounded cloud-shaped spots to simulate the shape of background spots and ink particles to simulate the texture features of the background. The ink particles are designed with a gradient following the shape of the cloud-shaped spots, so that the texture of the camouflage pattern and the background environment transition naturally.
[0008] Furthermore, the ink particles of two adjacent colors blend together to form new colors, increasing the number of intrinsic primary colors of the camouflage pattern and enhancing the simulation of the camouflage pattern and background color characteristics.
[0009] Furthermore, the design method includes the following steps: Step 1: Collect background images of the corresponding environmental features and landforms; Step 2: Segment the background image from Step 1; Step 3: Perform color space conversion on the image segmented in Step 2, then quantize the colors of the image and extract the dominant ambient color; extract background spots and textures from different regions of the image segmented in Step 2. Step 4: Simulate the background spot shape extracted in Step 3 by using cloud-shaped spots, and simulate the background texture features extracted in Step 3 by using ink particles. The ink particles are designed with a gradient following the shape of the cloud-shaped spots. Adjacent ink particles of two colors blend together to form a new color, generating a camouflage pattern.
[0010] Specifically, the gradient design in step 4 includes: First, edge detection is performed on the generated cloud-shaped spots to determine the geometric center O and the maximum radial distance R of the cloud-shaped spots. The effective area of the cloud-shaped spots is then divided into uniform grids according to pixels. Then, calculate the radial distance r from the center of each grid to the geometric center O, record the r / R value of each grid, substitute it into the specified Gaussian decay function, calculate the ink particle density ρ(r) of each grid, and convert the density value into the number of ink particles; Finally, ink particles are randomly generated according to the number of ink particles in each grid. The size of the ink particles decreases slightly with the density, with the inner ink particles being slightly larger and the outer ones being slightly smaller to enhance the naturalness. In the region where r≥R, no ink particles are generated.
[0011] Specifically, the grid precision is determined based on the pattern resolution, with camouflage patterns set at 10px × 10px and large equipment camouflage patterns at 50px × 50px.
[0012] Specifically, the Gaussian decay function is ρ(r)=ρ 0* e −2(r / σ)^2 ; Where r is the radial distance from the grid center to the geometric center O; ρ0 is the initial ink particle density inside the spot, i.e., when r=0; σ is the attenuation coefficient, ranging from 0.3R to 0.5R; R is the maximum radial distance from the edge of the cloud-shaped spot to its geometric center O, and when r≥R, let ρ(r)=0.
[0013] Furthermore, when the shortest distance between the edges of two adjacent primary color blocks is ≤D, where D is the blending trigger threshold, a strip-shaped blending area is constructed between the edges of the two color blocks. The blending area is a blurred area without clear boundaries, and its width is the trigger threshold D. In the blending area, from color block A to color block B, the proportion of the primary color of color block A linearly decreases from 100% to 0%.
[0014] Furthermore, the width of the blending area should not exceed 200px, otherwise it will cause the main color to become blurred and lose its function of distorting the shape of the target.
[0015] Specifically, the blending trigger threshold D is 50px~200px, where small patterns such as camouflage uniforms are 50px~100px, and camouflage patterns of large equipment such as tanks and armored vehicles are 100px~200px.
[0016] Specifically, the color model includes L * a * b * RGB, CMYK, and HSV are preferred. In step 3, the color space conversion process involves converting the image colors from the RGB model to L... * a * b * The model extracts the dominant environmental color and then converts the image color from L... * a * b * The model is converted back to the RGB model. The dominant environmental color is extracted using the k-means clustering dominant color extraction algorithm. The colors in the image are quantified, and the number of pixels in the image representing the color of each cluster center is calculated. The number of pixels of each dominant color is divided by the total number of pixels in the image to extract the dominant environmental color and its proportion. The proportion of each dominant color is taken as the average of the three segmentation methods as the proportion of camouflage color.
[0017] Specifically, two adjacent primary color blocks are defined as color block A and color block B. In the blending area, from color block A to color block B, the proportion of the primary color of color block A linearly decreases from 100% to 0%. Color block A (L * 1,a * 1,b * 1) and color block B (L) * 2,a * 2,b * 2) The ink particles blend together using inverse distance weighted interpolation. Within the blending region, the L value for any point P is... * a * b * The value is interpolated using the following formula: L P = (L1d PB +L2d PA ) / (d PA +d PB ); a P = (a1d PB +a2d PA ) / (d PA +d PB ); b P= (b1d PB +b2d PA ) / (d PA +d PB ); Where d PA Let d be the distance from P to the core area of color block A. PB L is the distance from P to the core area of color block B; after interpolation, L... * a * b * The values are converted back to RGB values to complete the color overlay, avoiding color distortion caused by direct mixing in the RGB space. The generated new color is a transitional color, not an independent primary color, and exists only in the blending area.
[0018] Preferably, in step 2, the segmentation process includes four-point segmentation, nine-point segmentation, and twelve-point segmentation, which divide the background image into 2×2, 3×3, and 3×4 equal parts, respectively.
[0019] Preferably, in step 1, a rotary-wing UAV is used to simulate satellite aerial reconnaissance or ground-based colorimeter sampling to collect background images of the corresponding environmental features and landforms.
[0020] In addition, the present invention also provides camouflage patterns obtained by applying some or all of the design methods described above.
[0021] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects: 1. This invention uses cloud-patterned spots to simulate the background instead of traditional large spots or digital small spots, avoiding the rigidity of the pattern, breaking the edge features of the camouflage, disrupting the geometric shape of the target (such as the rectangle or cylinder of the equipment), making it consistent with the imaging features of the natural background, and making it impossible for optical reconnaissance equipment to identify continuous contour features.
[0022] 2. This invention uses ink particles to process the transition between different colored cloud-like spots, making the transition natural and smooth. Adjacent ink particles of two colors blend together to form new colors, increasing the number of intrinsic primary colors of the camouflage pattern and improving the simulation of background color characteristics. Furthermore, it uses an inverse distance weighted interpolation method to optimize the spatial color mixing effect. Under different observation distances, such as human eye, low-light night vision device, and high-resolution satellite imaging, it can achieve uniform color mixing with the background, avoiding camouflage failure at a single distance.
[0023] 3. This invention achieves a camouflage pattern with blurred boundaries through a dual natural transition of color and texture, which better matches the texture characteristics of the natural environment (such as the natural color gradient of jungles and deserts). Compared with traditional spots, it can improve concealment in complex multi-colored backgrounds. Attached Figure Description
[0024] The accompanying drawings are incorporated in and form part of this specification, and together with the description serve to explain the principles of the invention.
[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0026] Figure 1 A flowchart of a method for designing ink-wash cloud pattern camouflage is provided by the present invention; Figure 2 Background images of landforms provided in embodiments of the present invention; Figure 3 This is a segmented background image provided in an embodiment of the present invention; Figure 4 A pie chart showing the proportion of each primary color provided in an embodiment of the present invention; Figure 5 This is the result of extracting background spots and textures in a local area as provided in an embodiment of the present invention; Figure 6 Typical spot shape diagram provided for embodiments of the present invention; Figure 7 A camouflage unit diagram provided for an embodiment of the present invention; Figure 8 The camouflage pattern provided in the embodiments of the present invention. Detailed Implementation
[0027] Exemplary embodiments will now be described in detail. The embodiments described below are not representative of all embodiments consistent with this invention. Rather, they are merely examples consistent with some aspects of the invention as detailed in the appended claims.
[0028] See Figure 1 As shown, the present invention provides a method for designing ink-wash cloud pattern camouflage. The method includes: 1. Background image acquisition; 2. Background image segmentation; 3. Background color, background spots and texture analysis; 4. Camouflage pattern generation.
[0029] To enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Example
[0030] This embodiment provides a method for designing ink-wash cloud pattern camouflage designs. Taking a tropical jungle environment as an example, the method specifically includes the following steps: Step 1: Use a rotary-wing UAV to collect background images of the corresponding landforms and features in the tropical jungle environment. The background images are as follows: Figure 2 As shown; Step 2: Using three background segmentation methods—four-point segmentation, nine-point segmentation, and twelve-point segmentation—Photoshop image processing software is used to divide the background image into 2×2, 3×3, and 3×4 equal parts, respectively. The segmented background image is shown below. Figure 3 As shown.
[0031] Step 3: Perform color space conversion on the image after segmentation in Step 2, then quantize the colors of the image and extract the main ambient color; extract background spots and textures from different regions of the image after segmentation in Step 2.
[0032] Specifically, the process of color space conversion and primary color extraction is as follows: Perform color space conversion on the background image after segmentation in step 2 (converting the image colors from RGB to L). * a * b * ); The k-means clustering dominant color extraction algorithm is used to quantify the colors in the image. The number of pixels representing each cluster center is calculated, and the number of pixels for each dominant color is divided by the total number of pixels in the image to extract the dominant colors and their proportions. The average of the three segmentation methods is taken as the camouflage color proportion. Table 1 shows the extracted dominant colors and their distribution ratios after processing the background image using the four-point, nine-point, and twelve-point segmentation methods.
[0033] As shown in Table 1, the relative proportions of the main colors in each section are: yellowish-green > medium green > dark green > light earth color > brownish-red. After averaging the proportions of the three segmentation methods, the pie charts of the proportions of each main color are shown below. Figure 4 As shown. The RGB and L values of the primary colors in each part of the background image. * a * b * Color space values are shown in Table 2:
[0034] Dark green, medium green, and yellowish green are used to simulate the colors of vegetation and leaves; light earth tones are used to simulate tree trunks, bright spots, and decaying leaves to help blend into the forest landscape; and brown is usually used to simulate soil and shadows to add depth and help hide in the forest.
[0035] Background spot and texture extraction: Local images of different regions of the background image after being divided into 3×4 equal parts were randomly selected, and background spots and textures were extracted using Photoshop image processing software. The results of background spot and texture extraction in local regions (1), (4), (6), (7), (9), and (12) after 3×4 equal division are shown below. Figure 5 As shown, "a" represents the extracted background blob image, and "b" represents the extracted background texture result. Figure 6 As shown, the background spots often exhibit cloud-like, needle-like, or grid-like shapes. The background texture features often show dense grain shapes or forked shapes.
[0036] Step 4: Simulate the background spot shape extracted in Step 3 by using cloud-shaped spots, and simulate the background texture features extracted in Step 3 by using ink particles. The ink particles are designed with a gradient following the shape of the cloud-shaped spots. Adjacent ink particles of two colors blend together to form a new color, generating a camouflage pattern.
[0037] Specifically, the spots in the camouflage pattern need to be arranged according to irregular, non-repeating geometric features and a random pattern, ultimately distorting the target's shape so that the observer cannot identify the overall outline of the target through continuous spot features. To address this, a shape factor F = 4πA / L is introduced. 2 (0 < F < 1) Irregularity is judged for the spot, where A is the actual area of the target spot and L is the perimeter of the spot. The closer F is to 1, the closer the target spot is to a circle; the further F deviates from 1, the more irregular the spot is.
[0038] Furthermore, edge detection is performed on the generated cloud-shaped spots to determine their geometric center O and maximum radial distance R. The effective region of the cloud-shaped spots is then divided into uniform grids based on pixels. The radial distance r from the center of each grid to the geometric center O is calculated, and the r / R value of each grid is recorded. This value is then substituted into the specified Gaussian decay function ρ(r) = ρ 0* e −2(r / σ)^2 In the calculation, σ is the attenuation coefficient, ranging from 0.3R to 0.5R. The ink particle density ρ(r) of each grid is calculated, and the density value is converted into the number of ink particles. Ink particles are randomly generated according to the number of ink particles in each grid. The size of the ink particles decreases slightly in sync with the density, with slightly larger ink particles on the inner side and slightly smaller ones on the outer side to enhance the naturalness. In the region where r ≥ R, no ink particles are generated.
[0039] When the shortest distance between the edges of two adjacent primary color blocks is less than or equal to the blending trigger threshold D (the blending trigger threshold D is 50px~200px, where 50px~100px is used for small patterns such as camouflage uniforms, and 100px~200px is used for camouflage of large equipment such as tanks and armored vehicles), a strip-shaped blending zone is constructed between the edges of the two color blocks. The blending zone is a blurred area without a clear boundary, and its width is the trigger threshold D. In the blending zone, from color block A to color block B, the proportion of the primary color of color block A linearly decreases from 100% to 0%. The width of the blending zone cannot exceed 200px, otherwise it will cause the primary color to become blurred and lose its function of distorting the shape of the target.
[0040] Specifically, two adjacent primary color blocks are defined as color block A and color block B. In the blending area, from color block A to color block B, the proportion of the primary color of color block A linearly decreases from 100% to 0%. Color block A (L * 1,a * 1,b * 1) and color block B (L) * 2,a * 2,b * 2) The ink particles blend together using inverse distance weighted interpolation. Within the blending region, the L value of any point P is calculated. * a * b * The formula for interpolating the values is: L P = (L1d PB +L2d PA ) / (d PA +d PB ); a P = (a1d PB +a2d PA ) / (d PA +d PB ); b P = (b1d PB +b2d PA ) / (d PA +d PB ); Where d PA Let d be the distance from P to the core area of color block A. PB Let P be the distance from the core area of color block B; After interpolation, L * a * b *The values are converted back to RGB values to complete the color overlay, avoiding color distortion caused by direct mixing in the RGB space. The generated new color is a transitional color, not an independent primary color, and exists only within the blending area. The transitional color does not change the proportion of the originally extracted ambient primary color, which increases the color depth while ensuring the core matching degree between the camouflage and the background.
[0041] Specifically, in the camouflage pattern, the color and brightness of each spot are unevenly distributed, forming a non-uniform brightness gradient; at the same time, the spots of different colors exhibit an irregular area distribution. By maintaining a clear contrast in color and brightness between each spot, the original outline of the target object is effectively distorted on the one hand, and on the other hand, it can achieve a high degree of consistency with the spot texture in the background environment.
[0042] Among them, the evaluation of color brightness distribution: with L * a * b * Lightness L of space * Using the (light and dark channels) as the core, calculate the standard deviation of lightness (SDL) and coefficient of variation (CVL) for all primary colors: SDL / Lˉ (where Lˉ is the mean lightness). A larger CVL indicates a more uneven distribution of light and dark areas. Color area distribution evaluation: Calculate the pixel area percentage of each primary color, and then calculate the standard deviation of the area percentage (SDA) and coefficient of variation (CVA) (SDA / Aˉ, where Aˉ is the mean area percentage). A larger CVA indicates a more uneven area distribution. The range values for different environmental targets are shown in Table 3.
[0043] Specifically, in the camouflage pattern, L... * a * b * Lightness L of space * For the classification criteria, L * ≥60 indicates a bright spot (light color scheme), L≤30 indicates a dark spot (dark color scheme), and the area in between is a medium color scheme (transitional color scheme). The core principle of the ratio of bright (light) and dark (dark) spots is to balance contrast and concealment. If the ratio is too low, it will result in excessive spatial color mixing, failing to distort the target's shape; if the ratio is too high, the contrast between the target and the background will be too obvious, exposing the target. Table 4 shows the optimal ratio range of bright / dark spots for different environments (the proportion of the total camouflage pixel area). The medium color scheme ratio is 1 - bright spot ratio value - dark spot ratio value. The medium color scheme ratio should ideally be maintained between 50% and 70% to provide a foundation for the transition between light and dark colors.
[0044] The ratio ranges of bright and dark spots in Table 4 under different environments are based on the statistical analysis of bright and dark pixels in the natural background.
[0045] For example, in a tropical jungle background, dark colors account for a higher proportion and light colors a lower proportion; in a desert background, light colors account for a higher proportion and dark colors a lower proportion, ensuring a high degree of match between the camouflage pattern and the light and dark distribution of the background. In this embodiment, the proportion of light spots is 12% (light earth color), the proportion of dark spots is 19% (14% dark green + 5% brownish-red), and the proportion of medium colors is 69% (33% medium green + 36% yellowish-green).
[0046] like Figure 7 As shown, in this embodiment, the camouflage pattern uses smooth, cloud-like spots on the outer edges to simulate background patches; and ink particles to simulate background texture features. The ink particles are designed with a gradient following the shape of the cloud-like spots, gradually decreasing from the inside of the spots outwards to form a camouflage unit pattern with a gradient effect, allowing the texture of the camouflage pattern to transition naturally with the background environment. Figure 8 As shown, camouflage units are arranged and combined in any way to generate camouflage patterns.
[0047] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention.
[0048] It should be understood that the present invention is not limited to the content already described above, and various modifications and changes can be made without departing from its scope. The scope of the present invention is limited only by the appended claims.
Claims
1. A design method for a watercolor cloud pattern camouflage design, characterized in that, By collecting background patterns of environmental features and analyzing the shape and texture of the background spots, and combining cloud-like spots and ink particles, a camouflage pattern with blurred boundaries and natural transitions between spots of different colors is generated.
2. The method for designing a watercolor cloud pattern camouflage design according to claim 1, characterized in that, The design method uses rounded cloud-shaped spots to simulate the shape of background spots and ink particles to simulate the texture features of the background. The ink particles are designed with a gradient following the shape of the cloud-shaped spots, so that the texture of the camouflage pattern and the background environment transition naturally.
3. The method for designing a watercolor cloud pattern camouflage design according to claim 2, characterized in that, The ink particles of two adjacent colors blend together to form new colors, increasing the number of intrinsic primary colors of the camouflage pattern and enhancing the simulation of the camouflage pattern and background color characteristics.
4. The method for designing a watercolor cloud pattern camouflage design according to claim 3, characterized in that, The design method includes the following steps: Step 1: Collect background images of the corresponding environmental features and landforms; Step 2: Segment the background image from Step 1; Step 3: Perform color space conversion on the image segmented in Step 2, then quantize the colors of the image and extract the dominant ambient color; extract background spots and textures from different regions of the image segmented in Step 2. Step 4: Simulate the background spot shape extracted in Step 3 by using cloud-shaped spots, and simulate the background texture features extracted in Step 3 by using ink particles. The ink particles are designed with a gradient following the shape of the cloud-shaped spots. Adjacent ink particles of two colors blend together to form a new color, generating a camouflage pattern.
5. The method for designing a watercolor cloud pattern camouflage design according to claim 4, characterized in that, In step 4, the gradient design includes: First, edge detection is performed on the generated cloud-shaped spots to determine the geometric center O and the maximum radial distance R of the cloud-shaped spots. The effective area of the cloud-shaped spots is then divided into uniform grids according to pixels. Then, calculate the radial distance r from the center of each grid to the geometric center O, record the r / R value of each grid, substitute it into the specified Gaussian decay function, calculate the ink particle density ρ(r) of each grid, and convert the density value into the number of ink particles; Finally, ink particles are randomly generated according to the number of ink particles in each grid, and no ink particles are generated in the region r≥R.
6. The method for designing a watercolor cloud pattern camouflage design according to claim 4, characterized in that, When the shortest distance between the edges of two adjacent primary color blocks is less than or equal to D, where D is the blending trigger threshold, a strip-shaped blending area is constructed between the edges of the two color blocks. The strip-shaped blending area is a blurred area without clear boundaries, and its width is the blending trigger threshold D.
7. The method for designing a watercolor cloud pattern camouflage design according to claim 6, characterized in that, The blending trigger threshold D is 50px to 200px.
8. The method for designing a watercolor cloud pattern camouflage design according to claim 4, characterized in that, In step 3, the color space conversion process involves converting the image colors from RGB to L. * a * b * After extracting the dominant ambient color, the image color is then changed from L... * a * b * Convert back to RGB; The extraction of the dominant environmental color specifically involves: using a k-means clustering dominant color extraction algorithm to quantify the colors in the image, calculating the number of pixels in the image representing the color of each cluster center, dividing the number of pixels of each dominant color by the total number of pixels in the image, and extracting the dominant environmental color and its proportion.
9. The method for designing a watercolor cloud pattern camouflage design according to claim 8, characterized in that, In step 4, the two adjacent colors of ink particles are intermingled using inverse distance weighted interpolation, in adjacent main color blocks A (L * 1,a * 1,b * 1) B (L) * 2,a * 2,b * 2) Within the fusion region, for any point P, L * a * b * The value is interpolated using the following formula: L P = (L1d PB +L2d PA ) / (d PA +d PB ); and P = (a1d PB +a2d PA ) / (d PA +d PB ); b P = (b1d PB +b2d PA ) / (d PA +d PB ); Where d PA Let d be the distance from P to the core area of color block A. PB Let P be the distance from the core area of color block B; After interpolation, L * a * b * The values are converted back to RGB values to complete the color overlay. The generated new color is a transitional color, not an independent primary color, and exists only within the blending area.
10. A camouflage pattern resembling ink wash clouds, characterized in that, The camouflage pattern is obtained based on the design method described in any one of claims 1 to 9.