Detection Method and Device for Hairiness Index of Yarn Package Surface

Abstract

The present invention relates to a method and device for detecting the surface hairiness index of a yarn package. The method for detecting the surface hairiness index of a yarn package uses an image sensor to collect images of the yarn on the generatrix of the package surface in the tangential direction of the package surface, and through digital image processing technology, identifies and analyzes the hairiness in the images, so as to realize the detection of the surface hairiness index of any package. The detection result can be used to evaluate the hairiness quality of the yarn package, and there is no need to conduct destructive sampling on the yarn. The device for detecting the surface hairiness index of a yarn package is stably connected to the outer circumferential surface of the yarn package by a supporting part. After adjusting the focal plane, it can collect surface hairiness images of yarn packages with different outer diameters, and is convenient and fast to use.

Description

Technical Field

[0001] The present invention relates to a method and device for detecting the hairiness index on the surface of a yarn package. Background Art

[0002] The production and processing of textiles is a process of making yarn from fibers and then making fabrics from yarn. In the overall textile production process, yarn, as the product of spinning enterprises and the raw material of weaving enterprises, has a large number of package forms with different size specifications. These include small yarn packages - cops, initially made by ring spinning frames; medium-sized packages - cheese yarns, prepared by winding machines to increase the package and remove defects; large packages - warping beams, made by warping machines to parallelly arrange multiple yarns; and large packages - weaving beams, made by sizing machines to improve yarn strength and reduce yarn hairiness. As the yarn continuously changes from production to package form, the properties of the yarn change in each process. Among them, hairiness, as an important yarn property index, has an important impact on the final weaving production and product quality.

[0003] Currently, for the evaluation of the hairiness index of yarns in different packages during the textile production process, a hairiness meter is mainly used to conduct destructive sampling tests on the yarns on the packages. The results of this method are relatively accurate, but it is necessary to sample the products and conduct destructive tests. The formation of the test report is relatively lagged, the test efficiency is low, and it is easy to cause waste of yarn. Summary of the Invention

[0004] The first technical problem to be solved by the present invention is to provide a method for detecting the hairiness index on the surface of a yarn package, so as to overcome the problem that the traditional hairiness quality detection of yarn packages requires destructive tests on the yarns, improve the detection efficiency, and avoid waste of yarn.

[0005] To solve the above technical problem, the technical solution adopted by the present invention is: a method for detecting the hairiness index on the surface of a yarn package, characterized by including the following specific steps:

[0006] S1. Select any generatrix on the surface of the yarn package as the acquisition line;

[0007] S2. Axially calibrate at least one shooting area along the acquisition line, and there is no overlap among the shooting areas;

[0008] S3. Set up a shooting device along the tangential direction of the surface of the yarn package, and adjust the focal plane of the shooting device so that the acquisition line is on the focal plane;

[0009] S4. Use a calibrated detection device to determine the actual physical length corresponding to each pixel in the image on the focal plane collected by the shooting device;

[0010] S5. Take pictures of the surface hairiness images of the yarn on the acquisition line within at least one shooting area;

[0011] S6. Digitally process each surface hairiness image of the yarn to obtain a binary image of the hairiness and a binary image of the main body part of the yarn package;

[0012] S7. Statistically count the pixel points that appear as hairiness in all binary images of the hairiness. By calculating the lengths of the edge pixels of each hairiness and summing them up and then dividing by 2, the total length l of the hairiness is obtained; statistically count and convert the total number of black pixel points adjacent to the white pixel points in all binary images of the main body part of the yarn package to obtain the actual length L of the main body of the yarn package in the image;

[0013] S8. Calculate the hairiness length value per unit axial length on the surface of the yarn package according to the formula l / L, that is, the hairiness index on the surface of the yarn package.

[0014] As a preferred solution, the specific method of step S4 is to place the scale on the focal plane where the acquisition line is located, take pictures through the shooting device and perform digital processing to obtain the pixel map of the scale, and calculate the actual physical length and width corresponding to each pixel according to the scale on the scale.

[0015] As a preferred solution, the specific method of step S6 is as follows:

[0016] S601. Convert the surface hairiness image of the yarn obtained in step S5 into a pixel map;

[0017] S602. Use the Otsu method to segment the main body of the yarn package and the rest in the pixel map to obtain a binary image of the main body part of the yarn package;

[0018] S603: Use the Canny edge algorithm to process the pixel map of the surface hairiness image of the yarn to obtain a binary image of the hairiness.

[0019] The further technical problem to be solved by the present invention is to provide an acquisition device for acquiring the surface hairiness image of the yarn package, which is used to support the above-mentioned surface hairiness quality detection method of the yarn package and quickly acquire the surface hairiness image of the yarn package required by the above-mentioned surface hairiness quality detection method of the yarn package.

[0020] To solve the above technical problems, the technical solution adopted by the present invention is: a device for detecting the amount of hairiness on the surface of a yarn package, which includes a bracket and a computer. The two ends of the bracket are respectively connected with a front cantilever and a rear cantilever. A photographing device is connected to the front cantilever, and a background board is connected to the rear cantilever. The background board faces the lens of the photographing device. A supporting part for connecting to the outer surface of the yarn package is arranged at the lower end of the bracket. When the supporting part is connected to the outer circumferential surface of the yarn package, the axis of the lens direction is tangent to the outer circumferential surface of the yarn package. The photographing device and the computer are detachably connected, and the photographing device can send the captured image to the computer.

[0021] As a preferred solution, the bracket is a rectangular frame, and the supporting part includes four supporting columns respectively connected to the four top corners of the bracket. The four supporting columns are parallel to each other and perpendicular to the plane where the bracket is located. The four supporting columns are respectively arranged on both sides of the front cantilever in pairs.

[0022] As a preferred solution, the front cantilever and the rear cantilever are respectively fixedly connected to the centers of the two parallel side edges of the bracket. The free end of the front cantilever extends away from the bracket, and the free end of the rear cantilever also extends away from the bracket. The distance between the two supporting columns on the same side of the front cantilever is less than the minimum diameter of the yarn package.

[0023] As a preferred solution, a guiding column extending downward and parallel to the supporting column is connected to the free end of the front cantilever. A sliding sleeve is slidably sleeved outside the guiding column. A nut is connected to the outer wall of the sliding sleeve facing away from the bracket. A lead screw parallel to the guiding column is rotatably connected to the front cantilever. The lower end of the lead screw is threadedly connected to the nut, and the upper end of the lead screw extends above the front cantilever and is perpendicularly connected with a handle. An "L" - shaped base is fixedly connected to the outer wall of the sliding sleeve facing the bracket, and the photographing device is fixedly connected to the base.

[0024] As a preferred solution, a scale parallel to the background board is connected to the bracket. The scale is located between the background board and the photographing device. The four supporting columns are symmetrically distributed on both sides of the scale in pairs. When the supporting part is connected to the outer circumferential surface of the yarn package, the scale is suspended above the yarn package and is parallel to the axial direction of the yarn package.

[0025] As a preferred solution, a supplementary light is also connected to the bracket, which is used to supplement the light required for the photographing device to take pictures.

[0026] The beneficial effect of the present invention is: The method for detecting the amount of hairiness on the surface of the yarn package according to the present invention uses an image sensor to collect the image of the yarn on the generatrix of the package from the tangential direction of the package surface. Through digital image processing technology, the amount of hairiness in the image is identified and analyzed, so as to realize the detection of the surface hairiness index of any package. The detection result can be used to evaluate the hairiness quality of the yarn package, and it is not necessary to conduct destructive sampling on the yarn.

[0027] The device for detecting the amount of surface hairiness of the yarn package according to the present invention stably connects the support part to the outer peripheral surface of the yarn package. After adjusting the focal plane, it can collect surface hairiness images of yarn packages with different outer diameters, which is convenient and fast to use. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The following further describes in detail the specific embodiments of the present invention with reference to the drawings, where:

[0029] Figure 1 is the schematic diagram of the method for detecting the amount of surface hairiness of the yarn package according to the present invention;

[0030] Figure 2 is Figure 1 the view from direction A in

[0031] Figure 3 is Figure 1 the surface hairiness image of the yarn taken by the shooting device described in

[0032] Figure 4 is the binary image of the hairiness;

[0033] Figure 5 is the binary image of the main body part of the yarn package;

[0034] Figure 6 is the structural schematic diagram of the acquisition device for acquiring the surface hairiness image of the yarn package according to the present invention;

[0035] Figure 7 is the schematic diagram of the working state of the acquisition device;

[0036] Figure 8 is Figure 7 the cross-sectional view taken along line B-B in

[0037] Figures 1 to 8 In DETAILED DESCRIPTION OF THE EMBODIMENTS

[0038] The following describes in detail the specific implementation of the present invention with reference to the drawings.

[0039] Embodiment 1:

[0040] As Figures 1 to 5 shown, the method for detecting the amount of surface hairiness of the yarn package includes the following specific steps:

[0041] S1. Select any generatrix on the surface of the yarn package 100 as the acquisition line M. In this embodiment, a generatrix at the top of the horizontally placed yarn package 100 is selected as the acquisition line M. A generatrix refers to a line extending along its axial direction on the outer circumferential surface of the yarn package;

[0042] S2. Calibrate at least one shooting area X along the axial direction of the acquisition line M, and there is no overlap among the shooting areas X;

[0043] S3. Set up the shooting device 4 along the tangential direction of the surface of the yarn package 100, and adjust the focal plane Q of the shooting device 4 so that the acquisition line M is on the focal plane Q; the focal plane Q refers to the plane on which the shooting device 4 focuses. As Figure 1 shown, the focal plane in this embodiment is the plane enclosed by four points a, b, c, and d.

[0044] S4. Determine the actual physical length corresponding to each pixel in the image on the focal plane Q collected by the shooting device 4 by using the shooting scale;

[0045] S5. Shoot the surface hairiness image of the yarn on the acquisition line M within at least one shooting area X; in this embodiment, one shooting area X is selected for shooting, and the captured image is as Figure 2 shown. During the actual detection process, the detection accuracy can be improved by increasing the collected surface hairiness images of the yarn.

[0046] S6. Perform digital processing on each surface hairiness image of the yarn to obtain the binary image of the hairiness and the binary image of the main body part of the yarn package. As Figure 3 shown is the binary image of the hairiness; Figure 4 is the binary image of the main body part of the yarn package; the main body part of the yarn package mentioned here refers to the coiled yarn body. Since only one surface hairiness image of the yarn is shot in this embodiment, therefore, digital processing is performed on one surface hairiness image of the yarn. Figure 3 and Figure 4 are the processing results.

[0047] S7. Statistically analyze the pixel points representing hairiness in all binary images of the hairiness. By calculating the lengths of the edge pixels of each hairiness and summing them up, the total edge length value of all hairinesses is obtained. Since each hair has two edges, therefore, divide the total edge length value of all hairinesses by 2 to obtain the total hairiness length l; statistically analyze and convert the total number of black pixel points adjacent to the white pixel points in all binary images of the main body part of the yarn package to obtain the actual length L of the main body of the yarn package in the image;

[0048] S8. Calculate the hairiness length value per unit axial length on the surface of the yarn package according to the formula l / L, that is, the hairiness index on the surface of the yarn package;

[0049] S9. Inspect the yarn package with qualified surface hairiness quality according to the above steps S1 - S8, and obtain the standard surface hairiness index parameters of the yarn package.

[0050] S10. Inspect the yarn package to be detected according to the above steps S1 - S8, compare the measured hairiness quantity index obtained with the standard parameters, so as to judge the surface hairiness quality of the yarn package to be detected.

[0051] When implementing step S7, the calculation method of the length of the hairiness edge pixel points described in step S7 is as follows:

[0052] Step 1: Input the hairiness binary image, set the pixel value of the edge position to 1, and the pixel value of the non - edge position to 0.

[0053] Step 2: Scan all the pixels in the hairiness binary image in sequence. If the pixel value B(x, y) of a certain pixel point (x, y) is 1, then find the pixel points with pixel value 1 among the eight neighborhood position pixel points B(x + 1, y), B(x - 1, y), B(x, y + 1), B(x, y - 1), B(x + 1, y + 1), B(x - 1, y + 1), B(x + 1, y - 1), B(x - 1, y - 1). Calculate the distances between all pairs of pixel points with pixel value 1 including the pixel point (x, y), and take the maximum value among them divided by 2, which is recorded as the length of the edge where the pixel point (x, y) is located.

[0054] Among them, let z w be the actual physical length corresponding to each pixel in the horizontal direction, and z h be the actual physical length corresponding to each pixel in the vertical direction (the values of z w , z h are obtained through the above step S4). The distance d between any two pixel points (a1, b1), (a2, b2) with pixel value 1 among the above nine pixel points is calculated by the following formula:

[0055]

[0056] Step 3: Statistically sum up the lengths of the edges where all pixel points with pixel value 1 are located, which is the value of all hairiness edge lengths.

[0057] In this embodiment, the specific method of step S4 is to place the scale on the focal plane Q where the acquisition line M is located, take a picture of the scale image through the photographing device 4 and perform digital processing to obtain the pixel map of the scale, and calculate the actual physical length and width corresponding to each pixel according to the scale on the scale.

[0058] In this embodiment, the specific method of step S6 is:

[0059] S601. Convert the surface hairiness image of the yarn obtained in step S5 into a pixel map;

[0060] S602. Use Otsu's method to segment the yarn package body and the rest in the pixel map to obtain a binary map of the yarn package body part;

[0061] S603: Use the Canny edge algorithm to process the pixel map of the surface hairiness image of the yarn to obtain a binary hairiness map.

[0062] As a preferred solution, when setting the photographing device 4, make the axis W of the lens direction of the photographing device 4 tangent to the outer peripheral surface of the yarn package 100 to make the hairiness pixel accuracy higher. And a background board 5 can be arranged opposite to the photographing device, and the acquisition line M is located between the background board 5 and the photographing device 4. A white background or a pure color background is adopted to make the contrast between the hairiness and the background in the hairiness image greater, clearer, and more convenient for the digital processing of the hairiness image. Improve the accuracy of hairiness detection. The background board 5 can be a non-luminous board with uniform color or a luminous board with uniform color.

[0063] Embodiment 2:

[0064] As Figures 6 to 8 shown, the device for detecting the surface hairiness quantity index of a yarn package includes a bracket 1 and a computer 15. It is characterized in that a front cantilever 2 and a rear cantilever 3 are respectively connected to both ends of the bracket 1. A photographing device 4 is connected to the front cantilever 2, and a background board 5 is connected to the rear cantilever 3. The background board 5 is directly opposite to the lens of the photographing device 4. A support part 6 for connecting to the outer surface of the yarn package 100 is arranged at the lower end of the bracket 1. When the support part 6 is connected to the outer circumferential surface of the yarn package 100, the axis of the lens direction is tangent to the outer circumferential surface of the yarn package 100. The photographing device 4 and the computer 15 are detachably connected, and the photographing device 4 can send the photographed image to the computer 15.

[0065] In this embodiment, the bracket 1 is a rectangular frame. The support part 6 includes four support columns 601 that are correspondingly connected to the four top corners of the bracket. The four support columns 601 are parallel to each other and perpendicular to the plane where the bracket is located. The four support columns 601 are respectively arranged on both sides of the front cantilever 2 in pairs.

[0066] In actual operation, the specific shape of the bracket 1 is not strictly limited. In addition to the rectangular frame, it can also be a special-shaped frame, a circular frame, etc., as long as it can be effectively and stably connected to the support part 6 without affecting the photographing device 4 from photographing the image.

[0067] In this embodiment, the front cantilever 2 and the rear cantilever 3 are respectively fixedly connected to the centers of two parallel sides of the bracket. The free end of the front cantilever 2 extends away from the bracket 1, and the free end of the rear cantilever 3 also extends away from the bracket 1. The distance between two support columns 601 on the same side of the front cantilever 2 is less than the minimum diameter of the yarn package 100, so that the four support columns 601 can support on the outer circumferential surface of the yarn package 100.

[0068] In this embodiment, as an optimized solution, a guide post 7 extending downward and parallel to the support column 601 is connected to the free end of the front cantilever 2. A sliding sleeve 8 is slidably sleeved outside the guide post 7. The sliding sleeve 8 can only slide axially along the guide post 7 and cannot rotate relative to the guide post 7. For this reason, the cross-section of the guide post 7 is preferably a regular polygon. Of course, any other structure that can limit the sliding sleeve 8 from rotating around the guide post 7 can also be used. A nut 9 is connected to the outer wall of the side of the sliding sleeve 8 facing away from the bracket 1. A lead screw 10 parallel to the guide post 7 is rotatably connected to the front cantilever 2. The lower end of the lead screw 10 is threadedly connected to the nut 9. The upper end of the lead screw 10 extends above the front cantilever 2 and is vertically connected with a handle 11. An "L"-shaped base 12 is fixedly connected to the outer wall of the side of the sliding sleeve 8 facing the bracket 1. The photographing device 4 is fixedly connected to the base 12. In this way, the lead screw 10 can be driven to rotate by rotating the handle 11, the sliding sleeve 8 can be driven to slide up and down along the guide post 7 by the rotation of the lead screw 10, and then the photographing device 4 can be driven to move up and down, facilitating the adjustment of the height of the lens direction axis of the photographing device 4.

[0069] In this embodiment, a scale 13 parallel to the background board 5 is preferably further connected to the bracket 1. The scale 13 is located between the background board 5 and the photographing device 4. The four support columns 601 are symmetrically distributed on both sides of the scale 13 in pairs. When the support part 6 is connected to the outer circumferential surface of the yarn package 100, the scale 13 is suspended above the yarn package 100 and is parallel to the axis of the yarn package 100. Since the four support columns 601 are respectively supported on the outer circumferential surface of the yarn package 100 and the lengths of the four support columns 601 are the same, the four support columns 601 will be symmetrically distributed on both sides of the axis of the yarn package 100 in pairs. As long as the lens direction axis W of the photographing device 4 is perpendicular to the support column 601, the scale 13 will be located on the focal plane Q of the photographing device 4.

[0070] In this embodiment, a supplementary light 14 is preferably further connected to the bracket 1 for supplementing the light required for the photographing device 4 during photographing.

[0071] The working process of the present invention is as Figure 7 and Figure 8As shown in the figure, the four support columns 601 of the above-mentioned acquisition device are supported on the outer circumferential surface of the yarn package 100. Then, the handle 11 is used to drive the lead screw 10 to adjust the height of the photographing device 4, so that the lens direction axis W of the photographing device 4 is tangent to the outer circumferential surface of the yarn package 100. Then, the focal plane Q of the photographing device 4 is adjusted so that the focal plane Q is located at the tangent point of the lens direction axis W and the outer circumferential surface of the yarn package 100, and the surface hairiness image of the yarn package 100 can be collected. The collected hairiness image is the hairiness image collected in step S5 of Embodiment 1.

[0072] After one-time focusing (adjusting the focal plane), it is applicable to yarn packages 100 with different diameters. During use, the height of the photographing device 4 can be adjusted as needed so that the lens direction axis W of the photographing device 4 is tangent to the outer circumferential surface of the yarn package 100.

[0073] The photographing device 4 described in the present invention includes but is not limited to a camera.

[0074] The above embodiments only illustratively explain the principle and efficacy of the present invention and some applied embodiments, rather than limiting the present invention. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several modifications and improvements can be made, and these all belong to the protection scope of the present invention.

Claims

1. Detection method for the surface hairiness index of yarn packages, characterized in that, It includes the following specific steps: S1. Select any generatrix on the surface of the yarn package as the acquisition line; S2. Calibrate at least one shooting area along the axial direction of the acquisition line, and there is no overlap among the shooting areas; S3. Set up a shooting device along the tangential direction of the surface of the yarn package, and adjust the focal plane of the shooting device so that the acquisition line is on the focal plane; S4. Use a calibrated detection device to determine the actual physical length corresponding to each pixel in the image on the focal plane collected by the shooting device; S5. Shoot the hairiness image on the surface of the yarn on the acquisition line within at least one shooting area; S6. Perform digital processing on each hairiness image on the surface of the yarn to obtain a binary image of the hairiness and a binary image of the main part of the yarn package; S7. Statistically analyze the pixel points representing hairiness in all the binary images of the hairiness. By calculating the lengths of the edge pixel points of each hairiness and summing them up and then dividing by 2, the total length l of the hairiness is obtained; statistically analyze and convert the total number of black pixel points adjacent to the white pixel points in all the binary images of the main part of the yarn package to obtain the actual length L of the main part of the yarn package in the image; S8. Calculate the hairiness length value per unit axial length on the surface of the yarn package according to the formula l / L, that is, the hairiness index on the surface of the yarn package.

2. The method for detecting the surface hairiness index of a yarn package according to claim 1, characterized in that The specific method of step S4 is to place a scale on the focal plane where the acquisition line is located, shoot through the shooting device and perform digital processing to obtain a pixel map of the scale, and calculate the actual physical length and width corresponding to each pixel according to the scale on the scale.

3. The method for detecting the amount index of surface hairiness of a yarn package according to claim 1, wherein, The specific method of the said step S6 is: S601. Convert the hairiness image on the surface of the yarn obtained in step S5 into a pixel map; S602. Use the Otsu method to segment the main part of the yarn package and the rest in the pixel map to obtain a binary image of the main part of the yarn package; S603: Use the Canny edge algorithm to process the pixel map of the hairiness image on the surface of the yarn to obtain a binary image of the hairiness.

Images