A detection system and method for rapidly and non-destructively detecting fabric density

Abstract

The application discloses a kind of detection system of quick nondestructive testing fabric density, including size comparison module, platform module, image acquisition module, processing module;Platform module is fixed to be detected object and cooperates size comparison module to form the object to be detected that can be used for real-time detection, image acquisition module acquires corresponding image information and real-time backup storage data according to operator target detection position, and the original data after backup is transferred to processing module, and processing module calculates the fabric density of the object to be detected in specified range according to the space layer conversion of fiber, the application further discloses a kind of detection method of application detection system.Relative to prior art, the technical scheme of the present application has the advantages of being convenient, real-time and traceable, etc.The application not only has the advantages of being fast and convenient and not damaging the fabric, but also the data can be traced back and reproduced well, and has important application prospects in the field of textile fiber detection.

Description

A rapid, non-destructive testing system and method for fabric density. Technical Field

[0001] This invention relates to the field of fabric fiber testing technology, and in particular to a rapid, non-destructive testing system and method for testing fabric density. Background Technology

[0002] The textile industry occupies an important position in my country's national economy. After decades of development, my country has transformed from a major textile producer into a leading textile power. With the increase in textile exports and people's pursuit of green textiles, the quality control requirements for textile products are becoming increasingly stringent.

[0003] Fabric density refers to the number of yarns per unit length. The number of yarns per unit length in the warp direction is called warp density, and the number of yarns per unit length in the weft direction is called weft density. Fabric density largely reflects the quality of textiles; therefore, it is generally necessary to measure the fabric density before textiles are sold.

[0004] Currently, there are three main standard and effective methods for testing fabric density in the textile industry. The first method is the manual splitting method, which involves manually separating a certain length of fabric (2-10cm) and counting the number of yarns in each section, ultimately converting this to the number of yarns per 10cm. The second method involves measuring the number of yarns visible through the analytical microscope window and converting this to the number of yarns within a specified length. This second method is not suitable for fabrics where not all yarns are clearly visible in the analytical microscope window, especially black fabrics and high-density fabrics. The third method uses a moving fabric density microscope, where the number of yarns is observed under a magnifying glass and converted to the number of yarns per 10cm. This method is not suitable for fabrics using a moving fabric density microscope, fabrics where not all yarns below the marked line are clearly visible, and fabrics with uneven density.

[0005] All of the above methods require testers to have good patience and maintain a high level of concentration during the testing process. If the number of samples tested is large or the testing time is too long, it can easily lead to tester fatigue and lapses in concentration. Therefore, it is impossible to trace and verify the testing errors and mistakes caused by human factors.

[0006] Since manual yarn counting is the most widely used method in the industry, it requires cutting and sampling the fabric, which damages the fabric. High-end textiles such as silk and cashmere fabrics, as well as textile artifacts, have valuable characteristics; therefore, non-destructive testing techniques are urgently needed to obtain the required sample information without damaging the textile. Furthermore, all three methods mentioned above measure the number of yarns at a certain length and then convert it to the number of yarns per 10cm length, which introduces significant errors. For example, with manual yarn counting, the yarn count at the edges is easily overcounted or undercounted during manual cutting and distance verification. Assuming a 2cm cut, one extra yarn might be counted at the left and right edges, resulting in an error of 10 yarns when converting to 10cm of fabric. Summary of the Invention

[0007] The main objective of this invention is to propose a convenient, real-time, and traceable detection system and method, which aims to effectively and rapidly perform non-destructive testing on the density of the fabric to be tested.

[0008] To achieve the above objectives, the present invention proposes a rapid non-destructive testing system for fabric density, comprising:

[0009] A size comparison module for comparing the size of the object to be tested;

[0010] Platform module used for fixing and adjusting the installation position of the object to be tested;

[0011] An image acquisition module used to acquire image information of the object to be detected;

[0012] A processing module for processing information from images collected by the image acquisition module and calculating the fabric density of the object to be detected;

[0013] The platform module fixes the object to be tested and, together with the size comparison module, forms an object to be tested that can be used for real-time detection. The image acquisition module acquires corresponding image information and backs up and stores data in real time according to the operator's target detection position. The backed-up raw data is transferred to the processing module, which calculates the fabric density of the object to be tested within a specified range based on the spatial layer transformation of the fibers.

[0014] Preferably, the size comparison module is detachably fixed to the surface of the object to be tested, and the size comparison module includes at least one scale reference coordinate system.

[0015] Preferably, the platform module is provided with a horizontally arranged three-dimensional adjustment platform, which includes an upper platform and a lower platform that can be detached and connected vertically. The upper platform and the lower platform together form a sphere receiving chamber. The top of the sphere receiving chamber is provided with a top opening. A sphere positioning platform that can rotate relative to each other is provided in the sphere receiving chamber. The upper part of the sphere positioning platform passes through the top opening upwards. The top surface of the sphere positioning platform is provided with a mounting surface, and the mounting surface is provided with several elastic clamps.

[0016] Preferably, the upper platform and the lower platform are clamped and locked to the outer circumference of the spherical positioning platform by a three-point clamping method.

[0017] Preferably, the lower platform is provided with a lower connecting rod on its side, one end of which is fixedly connected to the side of the lower platform, and the other end of which is provided with a threaded sleeve and threadedly connected to the mounting bracket rod; an upper connecting rod is provided above the three-dimensional adjustment platform, one end of which is threadedly connected to the mounting bracket rod, and the other end of which is threadedly connected to the image acquisition module.

[0018] Preferably, the image acquisition module includes a lens housing, a camera mounted on the top of the lens housing, and a light source located at the bottom of the lens housing.

[0019] Preferably, the spherical positioning platform has at least one degree of freedom relative to the spherical receiving chamber; the upper connecting rod and the lower connecting rod can be precisely adjusted in connection position and height relative to the mounting bracket rod.

[0020] Preferably, the image acquisition module magnifies and takes several photos of the object to be detected at a certain ratio, and then overlaps and splices the several photos based on the repetition of at least some positions. In two adjacent photos, the fabric fibers at the overlapping and splicing positions are not broken or misaligned in terms of structural extension.

[0021] The present invention also discloses a detection method using the aforementioned detection system, comprising the following steps:

[0022] Step S1: The processing module receives the final image information transmitted by the image acquisition module. Based on the defined detection area, the processing module segments and separates the target image information of the detection area from the original image and enlarges it as a whole with a certain ratio parameter.

[0023] Step S2: The final image is bounded by several size comparison modules to define the actual detection boundary of the object to be detected;

[0024] Step S3: Transform the image to the frequency domain using a two-dimensional Fourier transform, and then filter out image information with excessively high frequencies using a high-pass filter;

[0025] Step S4: Project the high-pass filtered image information in the vertical direction to obtain one-dimensional image information;

[0026] Step S5: Transform the one-dimensional image information to the frequency domain using a one-dimensional Fourier transform;

[0027] Step S6: Traverse the limit points in the one-dimensional frequency domain, count the limit points that exceed the preset threshold, and limit the measurement size of the image based on the final image information transmitted by the image acquisition module. Then, based on the size of the object to be detected and the number of limit points, output the number of yarn lines contained in the horizontal direction and the number of yarn lines per centimeter in the detection image.

[0028] Preferably, in step S2, if there is a certain deflection angle between the final image and the boundary of the size comparison module, the final image is divided into several sub-images based on the yarn density of the final image as the trend and the position with the maximum density is selected as the center of the final image. The final image is then rotated in the opposite direction by the same angle according to the deflection angle of each sub-image. The reverse rotation angles of two adjacent sub-images are either different or the same.

[0029] Preferably, step S4 includes the following steps:

[0030] Step S41: For the one-dimensional curve signal R x (l) Decompose to obtain a series of IMF components;

[0031] Step S42: Calculate the average permutation entropy M of each IMF component. pe Here, the threshold for the average permutation entropy is set to 0.2. <M pe If the permutation entropy value of the corresponding IMF component is less than 0.9, then the component is retained.

[0032] Step S43: Reconstruct the retained IMF components to obtain the denoised signal.

[0033] The technical solution of this invention has the following advantages over the prior art:

[0034] The technical solution of this invention can overcome the lack of existing technologies for rapid, non-destructive, and accurate detection of high-density fabrics. It provides a detection system and method for rapid and non-destructive detection of fabric density. This method not only has the advantages of being fast and convenient and not damaging the fabric, but also allows for traceability and good reproducibility of the detection data. It has important application prospects in the field of textile fiber detection, can protect the life and property safety of consumers, and can enhance my country's capabilities in the field of textile detection. Attached Figure Description

[0035] 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, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the structures shown in these drawings without creative effort.

[0036] Figure 1 is a three-dimensional structural schematic diagram of the detection system for rapid non-destructive testing of fabric density according to the present invention;

[0037] Figure 2 is a side view of the detection system for rapid non-destructive testing of fabric density according to the present invention;

[0038] Figure 3 is a partial structural diagram of the platform module of the present invention;

[0039] Figure 4 is a schematic diagram illustrating the working principle of the filtering process of the present invention;

[0040] Figure 5 is a CEEMDAN decomposition diagram of the signal of the present invention.

[0041] Explanation of icon numbers:

[0042] 1. Platform module; 11. Upper platform; 110. Top opening; 12. Lower platform; 13. Spherical positioning platform; 131. Mounting top surface; 132. Elastic clamp; 14. Positioning rod; 15. Lower connecting rod; 151. First threaded sleeve; 21. Upper connecting rod; 211. Second threaded sleeve; 212. Third threaded sleeve; 22. Lens housing; 23. Camera; 24. Light source; 2. Image acquisition module; 3. Mounting bracket rod; 31. Mounting base plate.

[0043] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0044] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0045] This invention proposes a rapid, non-destructive testing system for fabric density.

[0046] Please refer to Figures 1 to 3. The detection system for rapid non-destructive testing of fabric density in this embodiment of the invention includes a size comparison module for comparing the size of the object to be tested, a platform module 1 for fixing and adjusting the installation position of the object to be tested, an image acquisition module 2 for acquiring image information of the object to be tested, and a processing module for processing information based on the images collected by the image acquisition module 2 and calculating the fabric density of the object to be tested.

[0047] In the detection system of this invention, the object to be detected is fixed by the platform module 1 and a size comparison module to form an object to be detected in real time. The operator can adaptively adjust the detection position of the image acquisition module 2 according to the needs to acquire corresponding image information at the specified position of the object to be detected. After acquiring the corresponding image information, the image information is backed up in real time. The backed-up original data is transferred to the processing module. The processing module then calculates the fabric density of the object to be detected within the specified range according to the spatial layer transformation of the object to be detected.

[0048] The size comparison module of the rapid non-destructive testing system for fabric density of the present invention is detachably fixed to the surface of the object to be tested, and the size comparison module includes at least one directional scale reference coordinate system. Specifically, in this embodiment, the size comparison module is a transparent ruler, which is pasted onto the surface of the object to be tested. For example, in this embodiment, four rulers are simultaneously pasted onto the surface of the object to be tested to define the area to be tested on the surface of the object. The four rulers, which are connected in sequence and intersect each other, can form an area for testing the object.

[0049] Furthermore, the rapid non-destructive testing system for fabric density of the present invention includes a platform module 1 with a horizontally arranged three-dimensional adjustment platform. The three-dimensional adjustment platform includes an upper platform 11 and a lower platform 12 that are detachably connected vertically. The interiors of the upper platform 11 and the lower platform 12 together form a spherical receiving chamber. The top of the spherical receiving chamber has a top opening 110 located on the surface of the upper platform 11. Inside the spherical receiving chamber, there is a spherical positioning stage 13 that can rotate relative to each other to adjust the spatial installation position of the object to be tested. The upper part of the spherical positioning stage 13 extends upward through the top opening 110, and the top surface of the spherical positioning stage 13 has a mounting surface 131 with three elastic clamps 132. The upper platform 11 and the lower platform 12 are connected by vertically connected fasteners to form the main structure of the three-dimensional adjustment platform.

[0050] In order to lock the position of the ball positioning platform 13 after it swings, the left and right sides of the upper platform 11 are respectively provided with side positioning threaded holes. The side positioning threaded holes can be threaded to the positioning rods 14 respectively. The positioning rods 14 on both sides are simultaneously screwed into the center of the upper platform 11 to lock the ball positioning platform 13 from the side. The bottom of the lower platform 12 is provided with a lower positioning threaded hole. The threaded positioning rod can also lock the bottom of the ball positioning platform 13. Finally, the side of the ball positioning platform 13 is simultaneously subjected to a pressing force, and the bottom is subjected to an upward pressing force.

[0051] In addition, a lower connecting rod 15 is provided on the side of the lower platform 12. One end of the lower connecting rod 15 is fixedly connected to the side of the lower platform 12, while the other end of the lower connecting rod 15 is provided with a first threaded sleeve 151. The first threaded sleeve 151 is threadedly connected to the external thread on the outer circumference of the mounting bracket rod 3. Therefore, when the lower connecting rod 15 drives the entire three-dimensional adjustment platform to rotate several times relative to the mounting bracket rod 3, the vertical dimension change can be precisely adjusted.

[0052] The bottom of the mounting bracket rod 3 is connected to the mounting base plate 31. In addition, the upper part of the mounting bracket rod 3 is also provided with external threads. The upper connecting rod 21 is also provided above the three-dimensional adjustment platform. One end of the upper connecting rod 21 is provided with a second threaded sleeve 211, which is threadedly connected to the mounting bracket rod 3. The other end of the upper connecting rod 21 is provided with a third threaded sleeve 212, which is threadedly connected to the external threads of the lens housing 22 of the image acquisition module 2. In addition to the lens housing 22, the image acquisition module of this embodiment also includes a camera 23 and an external light source 24. The lens housing 22 is a cylindrical structure with a through hole in the center and is arranged vertically. The camera 23 is installed at the top of the lens housing 22. The camera 23 takes pictures downward to collect photos of the object to be tested. In order to improve the clarity of the captured image information, the bottom outer periphery of the lens housing 22 of this embodiment is provided with a ring-shaped light source 24 to provide light illumination to the object to be tested.

[0053] Because a CCD is used as the camera 23, several photos may be taken of the object to be detected during the image acquisition process. In order to ensure the continuity of the images of the object to be detected, the embodiments of the present invention overlap and splice several photos based on at least some repeated positions. In two adjacent photos, the fabric fibers at the overlapping and splicing positions are not broken or misaligned in terms of structural extension.

[0054] Preferably, the camera 23 in this embodiment uses a CCD with a Bayer primary color filter, such as CFA101.

[0055] Preferably, in other embodiments of the present invention, an intermediate plate may be provided on the upper part of the spherical positioning platform 12 to separate the upper and lower parts of the spherical positioning platform 12. A first slide rail is provided between the intermediate plate and the upper part of the spherical positioning platform 12, and a second slide rail is provided between the intermediate plate and the lower part of the spherical positioning platform 12. The first and second slide rails may be slide rails in the X and Y directions, so that the object to be tested placed on the top surface of the spherical positioning platform 12 can move in the X and / or Y directions to facilitate the capture of images of the object to be tested in different positions.

[0056] This invention also proposes a detection method using a rapid, non-destructive testing system for fabric density.

[0057] Step S1: The processing module receives the final image information transmitted by the image acquisition module. Based on the defined detection area, the processing module segments and separates the target image information of the detection area from the original image and enlarges it as a whole with a certain ratio parameter.

[0058] Specifically, in the detection method of this embodiment of the invention, at least two photos are taken. In order to improve the detection accuracy, multiple photos are merged into one photo, and the merged photo is compared with a pre-set reference photo. If the merged photo is completely different from the reference photo, an alarm will be triggered and a new image will be replaced.

[0059] Step S2: The final image is bounded by several size comparison modules to define the actual detection boundary of the object to be detected;

[0060] Preferably, in the detection method of this embodiment, if there is a certain deflection angle between the final image and the boundary of the size comparison module, the final image is divided into several sub-images based on the yarn density of the final image as a trend, and the position with the maximum density is selected as the center of the final image. Each sub-image is then rotated in the opposite direction by the same angle based on its deflection angle. The inverse rotation angles of adjacent sub-images may be different or the same. When two adjacent images meet the requirements after deformation, their contents are overlapped and connected. Image segmentation can be performed automatically or manually, or based on the weight of the image's proportion.

[0061] Step S3: Transform the image to the frequency domain using a two-dimensional Fourier transform, and then filter out image information with excessively high frequencies using a high-pass filter;

[0062] Preferably, before the two-dimensional Fourier transform, the grayscale of the image to be detected is adjusted to the maximum, and the gap between two adjacent fiber lines is marked by color transformation to produce a greater difference from the fiber lines on the left and right sides.

[0063] By performing a two-dimensional Fourier transform on the synthesized image, the frequency characteristics of the synthesized image generated by the image synthesis unit can be measured.

[0064] Please refer to Figure 4. Specifically, for the spectrum of a digital image, the distribution of low-frequency components reflects the basic shape of the main image subject, while the distribution of high-frequency components reflects the image details. Since the horizontal or vertical texture of the image to be detected is easily interfered with by low-frequency noise, and considering the energy distribution of the image after Fourier transform, this embodiment of the invention designs a high-pass filter. The formula for the filter is as follows:

[0065]

[0066] The low-frequency cutoff frequency in the formula is r. s This allows for the construction of bandpass filters for image enhancement.

[0067] Step S4: Project the high-pass filtered image information in the vertical direction to obtain one-dimensional image information;

[0068] Please refer to Figure 5. Specifically, the following section addresses the denoising of the aforementioned one-dimensional curve. The denoising method based on empirical modes and permutation entropy, Empirical Mode Decomposition (EMD), while possessing some adaptability to the signal, suffers from severe mode aliasing, affecting the quality of signal decomposition. This results in a single Intrinsic Mode Function (IMF) component containing signals of different scales, or signals of similar scales existing in different IMF components. By adding two pairs of opposite white noise signals to the original signal and performing EMD decomposition separately, the results are combined to obtain the final IMF. Directly removing the first few high-frequency components and reconstructing the remaining components may compromise signal integrity. Therefore, after decomposing the original signal into multiple IMF components, the problem of selecting signal components arises.

[0069] Considering that the permutation entropy algorithm can quantitatively assess the random noise contained in a signal, and also has advantages such as fast computation speed, simple algorithm, and strong anti-interference ability, in order to better preserve the useful information in the signal while removing signal noise, a noise reduction method is proposed here, the specific implementation steps of which are as follows:

[0070] Step S41: For the one-dimensional curve signal R x (l) Decompose to obtain a series of IMF components.

[0071] Step S42: Calculate the average permutation entropy M of each IMF component. pe Here, the threshold for the average permutation entropy is set to 0.2. <Mpe If the permutation entropy value of the corresponding IMF component is less than 0.9, then the component is retained.

[0072] Step S43: Reconstruct the retained IMF components to obtain the denoised signal.

[0073] The one-dimensional curve is decomposed into components of different scales, and the resulting IMF components are shown in Figure 5. Next, the average permutation entropy of these modal components is calculated. Then, using the denoising method described earlier, high-frequency noise and approximate DC components in the signal waveform are removed, resulting in the reconstructed signal waveform.

[0074] Step S5: Transform the one-dimensional image information to the frequency domain using a one-dimensional Fourier transform;

[0075] Step S6: Traverse the limit points in the one-dimensional frequency domain, count the limit points that exceed the preset threshold, and limit the measurement size of the image based on the final image information transmitted by the image acquisition module. Then, based on the size of the object to be detected and the number of limit points, output the number of yarn lines contained in the horizontal direction and the number of yarn lines per centimeter in the detection image.

[0076] Specifically, the search involves finding extreme points in the frequency domain. To avoid low-frequency interference, the number of yarns is limited by par_num = L / cm_pix. Here, cm_pix is ​​set to 160, meaning that there are 160 pixels per centimeter, and L is the horizontal width of the image.

[0077] The above description is only a preferred embodiment of the present invention and does not limit the patent scope of the present invention. All equivalent structural transformations made under the concept of the present invention using the contents of the present invention specification and drawings, or direct / indirect applications in other related technical fields, are included within the patent protection scope of the present invention.

Claims

1. A rapid, non-destructive testing method for fabric density, characterized in that, Includes the following steps: Step S1: The processing module receives the final image information transmitted by the image acquisition module. Based on the defined detection area, the processing module segments and separates the target image information of the detection area from the original image. Step S2: The final image is boundary-defined using several size comparison modules to define the actual detection boundary of the object to be detected. Step S3: The image is transformed to the frequency domain using a two-dimensional Fourier transform, and then high-pass filtering is used to filter out image information with excessively high frequencies. Step S4: The image information after high-pass filtering is projected in the vertical direction to obtain one-dimensional image information. Step S4 includes the following steps: Step S41: For the one-dimensional curve signal... Decompose the components to obtain a series of IMF components; Step S42: Calculate the average permutation entropy of each IMF component. Here, the threshold for the average permutation entropy is set to... If the permutation entropy value of the corresponding IMF component meets the threshold, the component is retained; Step S43: Reconstruct the retained IMF components to obtain the denoised signal; Step S5: Transform the one-dimensional image information to the frequency domain using a one-dimensional Fourier transform; Step S6: Traverse the limit points in the one-dimensional frequency domain, count the limit points that exceed the preset threshold, and limit the measurement size of the image based on the final image information transmitted by the image acquisition module. Based on the size of the object to be detected and the number of limit points, output the number of yarn lines contained in the horizontal direction and the number of yarn lines per centimeter in the detected image; It also includes a detection system that applies a rapid non-destructive testing method for fabric density. It includes: a size comparison module for comparing the size of the object to be tested; a platform module for fixing and adjusting the installation position of the object to be tested; an image acquisition module for acquiring image information of the object to be tested; and a processing module for processing information based on the images collected by the image acquisition module and calculating the fabric density of the object to be tested. The platform module fixes the object to be tested and, together with the size comparison module, forms an object to be tested that can be used for real-time detection. The image acquisition module acquires corresponding image information and backs up and stores data in real time according to the operator's target detection position. The backed-up raw data is transferred to the processing module, which calculates the fabric density of the object to be tested within a specified range based on the spatial layer transformation of the fibers.

2. The method for rapid non-destructive testing of fabric density as described in claim 1, characterized in that, The size comparison module is detachably fixed to the surface of the object to be tested, and the size comparison module includes at least one scale reference coordinate system.

3. The method for rapid non-destructive testing of fabric density as described in claim 1, characterized in that, The platform module is equipped with a horizontally set three-dimensional adjustment platform, which includes an upper platform and a lower platform that can be detached and connected vertically. The upper platform and the lower platform together form a sphere receiving chamber. The top of the sphere receiving chamber is provided with a top opening. The sphere receiving chamber is provided with a sphere positioning platform that can rotate relative to each other. The upper part of the sphere positioning platform passes through the top opening and the top surface of the sphere positioning platform is provided with a mounting surface. The mounting surface is provided with several elastic clamps.

4. The method for rapid non-destructive testing of fabric density as described in claim 3, characterized in that, The upper platform and the lower platform are clamped and locked to the outer circumference of the spherical positioning platform by a three-point clamping method.

5. The method for rapid non-destructive testing of fabric density as described in claim 4, characterized in that, The lower platform is provided with a lower connecting rod on its side. One end of the lower connecting rod is fixedly connected to the side of the lower platform, while the other end of the lower connecting rod is provided with a threaded sleeve that is threadedly connected to the mounting bracket rod. The three-dimensional adjustment platform is provided with an upper connecting rod above it. One end of the upper connecting rod is threadedly connected to the mounting bracket rod, and the other end of the upper connecting rod is threadedly connected to the image acquisition module.

6. The method for rapid non-destructive testing of fabric density as described in claim 5, characterized in that, The image acquisition module includes a lens housing, a camera mounted on the top of the lens housing, and a light source located at the bottom of the lens housing.

7. The method for rapid non-destructive testing of fabric density as described in claim 6, characterized in that, The spherical positioning platform has at least one degree of freedom relative to the spherical receiving chamber; the upper connecting rod and the lower connecting rod can be precisely adjusted in connection position and height relative to the mounting bracket rod; the image acquisition module magnifies and takes several photos of the object to be tested with a certain ratio parameter, and overlaps and splices the several photos based on at least some repeated positions, and in two adjacent photos, the fabric fibers at the overlapping and splicing positions are not broken or misaligned in terms of structural extension.

8. The method for rapid non-destructive testing of fabric density as described in claim 1, characterized in that, In step S2, if there is a certain deflection angle between the final image and the boundary of the size comparison module, the final image is divided into several sub-images based on the yarn density of the final image as the trend and the position with the maximum density is selected as the center of the final image. The final image is then rotated in the opposite direction by the same angle according to the deflection angle of each sub-image. The reverse rotation angles of two adjacent sub-images are either different or the same.

Images