Velvet flower product quality detection and evaluation method and system based on digitization

Abstract

The invention discloses a digitalization-based velvet flower product quality detection and evaluation method and system, and belongs to the field of product quality detection. Binding position abnormity analysis is performed based on binding position texture image data and position data corresponding to bound velvet flowers; and then, based on the image data of the stapled velvet flower product, carrying out stapling damage abnormity analysis, and carrying out velvet flower stapling quality analysis by integrating a stapling position abnormity analysis result and a stapling change abnormity analysis result. According to the method, the binding quality is accurately and efficiently evaluated, damage analysis on the appearance of the product in the binding process is considered while the binding quality is evaluated, and then the binding quality of the product is comprehensively analyzed.

Description

Technical Field

[0001] The present application belongs to the field of product quality inspection, and specifically is a method and system for inspecting and evaluating the quality of velvet flower products based on digitalization. Background Art

[0002] Velvet flower products are a kind of traditional handicrafts, which are made of silk and feathers as the main raw materials and processed by a unique production process. They are usually used as decorations or gifts, and have high artistic and historical value. Velvet flower products have colorful colors and exquisite shapes, which can show the charm of Chinese traditional culture. Velvet flower products are widely used in stage costumes, film and television props, folk art, traditional handicrafts and other fields. When testing the quality of velvet flower products, a velvet flower product quality testing and evaluation system is needed; the existing technology does not have a detection system specifically used for velvet flower product quality detection, and usually manual visual analysis is performed, and other detection systems cannot comprehensively analyze the texture image and position accuracy of the binding position after binding, and cannot perform destructive analysis on the product appearance during the binding process, resulting in poor evaluation efficiency and accuracy. Most of the existing technologies have the above problems; In order to accurately and efficiently evaluate the binding quality, this application designs a digital-based velvet flower product quality detection and evaluation method and system. Summary of the invention

[0003] In order to address the deficiencies in the prior art mentioned in the background technology, the present application proposes a digital-based velvet flower product quality detection and evaluation method and system. The present application conducts a comprehensive analysis of the texture image and position accuracy of the binding position after binding, and accurately and efficiently evaluates the binding quality. While evaluating the binding quality, it also takes into account the analysis of the damage to the product appearance during the binding process, and then comprehensively analyzes the binding quality of the product.

[0004] To achieve the above objectives, the present application provides the following technical solutions: In the first aspect, the present application provides a method for quality detection and evaluation of velvet flower products based on digitalization, which includes the following specific steps: Step 1: Acquire image data of the velvet flower product to be inspected, and simultaneously acquire texture image data of the binding position and position data corresponding to the velvet flower after binding; Step 2: Perform binding position abnormality analysis based on the binding position texture image data and the position data corresponding to the velvet flower after binding; Step 3: Perform binding damage anomaly analysis based on the image data of the bound velvet flower product; Step 4: Perform velvet flower binding quality analysis based on the binding position abnormality analysis results and the binding change abnormality analysis results.

[0005] Preferably, the specific contents of acquiring the image data of the velvet flower product to be detected and acquiring the binding position texture image data and the binding position data are: Step 11, obtaining image data of the velvet flower product to be inspected after binding, obtaining image data of the velvet on both sides of the binding line from the image, and obtaining orientation angle data of the velvet on both sides of the binding line when the product is placed vertically; Step 12: acquiring texture image data corresponding to the binding position and corresponding binding position data after binding from the image data of the velvet flower product; Step 13: Store the acquired data in the storage component.

[0006] Preferably, the binding position abnormality analysis based on the binding position texture image data and the position data corresponding to the velvet flower after binding comprises the following specific steps: Step 21, obtaining texture image data corresponding to all binding positions and corresponding binding position data after binding; Step 22: Import the acquired binding position data corresponding to the binding into the binding position abnormal value calculation formula to calculate the binding position abnormal value, wherein the binding position abnormal value calculation formula is: , where xi is the distance from the i-th actual binding point to the corresponding standard binding point, m is the number of binding points, and xz is the safe offset distance of the binding point. In this formula, the binding offset distances of all binding points are comprehensively analyzed to analyze the abnormality of the binding position; Step 23, obtaining texture image data corresponding to the binding position and texture image data required to be formed at the binding position, importing the obtained texture image data corresponding to the binding position and the texture image data required to be formed at the binding position into a binding position image abnormal value calculation formula to calculate the binding position image abnormal value, wherein the binding position image abnormal value calculation formula is: , where a is the contour similarity weight, s() is the area of ​​the image in brackets, piz is the contour image of the i-th binding position, and piu is the standard contour image of the i-th binding position. is the intersection of the images, is the union of the images, Ni is the number of pixels at the i-th binding position, zij is the pixel value of the j-th pixel at the i-th binding position, and zijm is the standard pixel value of the j-th pixel at the i-th binding position. In this formula, the image contour and image pixel anomaly at the binding position are used to comprehensively analyze the damage and contour anomaly of the binding position during the binding process. Step 24, obtain the calculated binding position abnormality value and binding position image abnormality value, weight them respectively and add them to obtain the binding position abnormality analysis coefficient. In this step, the abnormality of the binding part during the binding process is comprehensively analyzed through the position, contour and pixel abnormalities of the binding part.

[0007] Preferably, the binding damage abnormality analysis based on the image data of the bound velvet flower product comprises the following specific steps: Step 31, obtaining the orientation angle data of the fluff on both sides of the binding line when the product is placed vertically, and simultaneously obtaining the standard orientation angle of the fluff on both sides when the product is placed vertically; Step 32: Import the acquired orientation angle data of the fluff on both sides of the binding line when the product is placed vertically and the standard orientation angle of the fluff on both sides when the product is placed vertically into the binding damage abnormality analysis value calculation formula to calculate the binding damage abnormality analysis value, wherein the binding damage abnormality analysis value calculation formula is: , where M is the number of hairs on both sides of the binding line, is the orientation angle of the cth pile through which the binding line passes when the product is placed vertically, is the standard orientation angle of the cth fluff when the product is placed vertically, Lc is the vertical distance from the middle of the cth fluff to the binding line, and Lm is the length of the product.

[0008] Preferably, the comprehensive binding position abnormality analysis result and the binding change abnormality analysis result for velvet flower binding quality analysis include the following specific contents: obtaining the calculated binding position abnormality analysis coefficient and the binding damage abnormality analysis value, substituting the obtained binding position abnormality analysis coefficient and the binding damage abnormality analysis value into the binding quality analysis value calculation formula to calculate the binding quality analysis value, wherein the binding quality analysis value calculation formula is: , where Zw is the binding position abnormality analysis coefficient, and exp() is the power of the natural constant e; The calculated binding quality analysis value is compared with the set binding quality threshold. If the calculated binding quality analysis value is greater than or equal to the set binding quality threshold, the velvet flower product is judged to be qualified in binding. If the obtained binding quality analysis value is less than the set binding quality threshold, the velvet flower product is judged to be unqualified in binding.

[0009] In the second aspect, the present application provides a digital-based velvet flower product quality detection and evaluation system, which is implemented based on the above-mentioned digital-based velvet flower product quality detection and evaluation method, and specifically includes a data acquisition module, a position abnormality analysis module, a damage abnormality analysis module and a binding quality analysis module; wherein the data acquisition module is used to acquire image data of the velvet flower product to be detected, and at the same time acquire binding position texture image data and position data corresponding to the velvet flower after binding; the position abnormality analysis module performs binding position abnormality analysis based on the binding position texture image data and the position data corresponding to the velvet flower after binding; the damage abnormality analysis module performs binding damage abnormality analysis based on the image data of the velvet flower product after binding; the binding quality analysis module is used to perform velvet flower binding quality analysis based on the comprehensive binding position abnormality analysis results and binding change abnormality analysis results; it may also include a control module, and the control module is used to control the operation of the data acquisition module, the position abnormality analysis module, the damage abnormality analysis module and the binding quality analysis module.

[0010] In a third aspect, the present application provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned method for detecting and evaluating the quality of velvet flower products based on digitalization by calling the computer program stored in the memory.

[0011] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute a digital-based velvet flower product quality detection and evaluation method as described above.

[0012] At the same time, compared with the prior art, the technical effects and advantages of the present application are: 1. The present application performs binding position abnormality analysis based on the binding position texture image data and the position data corresponding to the velvet flower after binding, and then performs binding damage abnormality analysis based on the image data of the velvet flower product after binding, and performs velvet flower binding quality analysis based on the binding position abnormality analysis results and the binding change abnormality analysis results. The present application conducts a comprehensive analysis of the texture image and position accuracy of the binding position after binding, and accurately and efficiently evaluates the binding quality.

[0013] 2. While evaluating the binding quality, the damage to the product appearance during the binding process is also analyzed, and then the binding quality of the product is comprehensively analyzed. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. Figure 1 This is a schematic diagram of the overall process of a digital-based velvet flower product quality detection and evaluation method for this application; Figure 2 This is a specific flow chart of step 2 of a digital-based velvet flower product quality detection and evaluation method of this application; Figure 3 This is a specific flow chart of step 4 of a digital-based velvet flower product quality detection and evaluation method of this application; Figure 4 This is a schematic diagram of the overall framework of a digital-based velvet flower product quality detection and evaluation system for this application. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present application and its application or use.

[0016] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0017] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, a first unit may be referred to as a second unit, and a similar second unit may be referred to as a first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0018] Example 1 In order to solve the technical problems raised in the background technology, the present application provides a preferred embodiment: Figure 1-Figure 3 As shown, a method for detecting and evaluating the quality of velvet flower products based on digitalization includes the following specific steps: Step 1: Acquire image data of the velvet flower product to be inspected, and simultaneously acquire texture image data of the binding position and position data corresponding to the velvet flower after binding; In this embodiment, step 1 includes the following specific steps: step 11, obtaining image data of the velvet flower product to be inspected after binding, obtaining image data of the fluff on both sides of the binding line from the image, and obtaining the orientation angle data of the fluff on both sides of the binding line when the product is placed vertically. The image data of the fluff on both sides of the binding line and the angle data of the fluff on both sides of the binding line can be obtained by general image processing software, which is a conventional acquisition method of image information acquisition in the prior art. The angle data of the fluff on both sides here, for example, requires that the fluff faces left, and the orientation of the fluff changes under the influence of the binding line; Step 12, obtain the texture image data of the corresponding binding position and the corresponding binding position data after binding from the image data of the velvet flower product. The following are the general steps for obtaining the required data: prepare image data: collect and prepare the image data of the velvet flower product, ensure that the image is clear and unobstructed, and mark the position of the binding line; image processing: use image processing techniques such as filtering, edge detection and threshold processing to extract the texture image data of the binding line; identify the position of the binding line: use computer vision techniques such as template matching, feature matching and deep learning to identify the position of the binding line; obtain texture image data: according to the identified binding line position, extract the corresponding texture image data from the image data of the velvet flower product; obtain the position data after binding: after obtaining the image data of the velvet flower product after binding, use computer vision technology to identify the position of the binding line and obtain the corresponding binding position data. The data acquisition part is a conventional technical means of image processing in the prior art, and is not the main innovative part of this application, so it will not be described in detail here; Step 13: storing the acquired data in a storage component. For the data storage process in this application, different types of collected data are stored in different storage devices for easy classification and retrieval; Step 2: Perform binding position abnormality analysis based on the binding position texture image data and the position data corresponding to the velvet flower after binding; In this embodiment, step 2 includes the following specific steps: step 21, obtaining texture image data corresponding to all binding positions and corresponding binding position data after binding; Step 22: Import the acquired binding position data corresponding to the binding into the binding position abnormal value calculation formula to calculate the binding position abnormal value, wherein the binding position abnormal value calculation formula is: , where xi is the distance from the i-th actual binding point to the corresponding standard binding point, m is the number of binding points, and xz is the safe offset distance of the binding point. In this formula, the binding offset distances of all binding points are comprehensively analyzed to analyze the abnormality of the binding position; Step 23, obtaining texture image data corresponding to the binding position and texture image data required to be formed at the binding position, importing the obtained texture image data corresponding to the binding position and the texture image data required to be formed at the binding position into a binding position image abnormal value calculation formula to calculate the binding position image abnormal value, wherein the binding position image abnormal value calculation formula is: , where a is the contour similarity weight, s() is the area of ​​the image in brackets, piz is the contour image of the i-th binding position, and piu is the standard contour image of the i-th binding position. is the intersection of the images, is the union of the images, Ni is the number of pixels at the i-th binding position, zij is the pixel value of the j-th pixel at the i-th binding position, and zijm is the standard pixel value of the j-th pixel at the i-th binding position. It should be noted that the standard pixel value and the standard contour image are obtained from the product design image. The product design image must be obtained before each product is produced. In this formula, the image contour and image pixel abnormality of the binding position are used to comprehensively analyze the damage and contour abnormality of the binding position during the binding process; Step 24, obtaining the calculated binding position abnormality value and binding position image abnormality value, weighting them respectively and adding them together to obtain the binding position abnormality analysis coefficient. In this step, the abnormality of the binding position during the binding process is comprehensively analyzed through the position, contour and pixel abnormalities of the binding position; Step 3: Perform binding damage anomaly analysis based on the image data of the bound velvet flower product; In this embodiment, step 3 includes the following specific steps: performing binding damage abnormality analysis based on the image data of the bound velvet flower product includes the following specific steps: Step 31, obtaining the orientation angle data of the fluff on both sides of the binding line when the product is placed vertically, and simultaneously obtaining the standard orientation angle of the fluff on both sides when the product is placed vertically; Step 32: Import the acquired orientation angle data of the fluff on both sides of the binding line when the product is placed vertically and the standard orientation angle of the fluff on both sides when the product is placed vertically into the binding damage abnormality analysis value calculation formula to calculate the binding damage abnormality analysis value, wherein the binding damage abnormality analysis value calculation formula is: , where M is the number of hairs on both sides of the binding line, is the orientation angle of the cth pile through which the binding line passes when the product is placed vertically, is the standard orientation angle of the cth fluff when the product is placed vertically, Lc is the vertical distance from the middle of the cth fluff to the binding line, and Lm is the length of the product. This formula is used to analyze whether the squeezing effect of the binding line destroys the position of the fluff on both sides of the binding line, resulting in the destruction of the original position of the fluff on both sides of the binding line, thereby affecting the product quality. At the same time, in order to perform different weight analysis on the fluff at different distances relative to the binding line, because the farther the influence is transmitted, the greater the influence is, so the vertical distance from the middle of the fluff to the binding line is set as the weight of the fluff at different positions; Step 4, analyzing the quality of velvet flower binding based on the binding position abnormality analysis results and the binding change abnormality analysis results; In this embodiment, step 4 includes the following specific steps: step 41, obtaining the calculated binding position abnormality analysis coefficient and binding damage abnormality analysis value, substituting the obtained binding position abnormality analysis coefficient and binding damage abnormality analysis value into the binding quality analysis value calculation formula to calculate the binding quality analysis value, wherein the binding quality analysis value calculation formula is: , where Zw is the binding position abnormality analysis coefficient, and exp() is the power of the natural constant e; Step 42: compare the calculated binding quality analysis value with the set binding quality threshold. If the calculated binding quality analysis value is greater than or equal to the set binding quality threshold, the velvet flower product is judged to be qualified in binding. If the obtained binding quality analysis value is less than the set binding quality threshold, the velvet flower product is judged to be unqualified in binding.

[0019] Secondly, it should be noted in the present embodiment that the relevant setting parameters in the present embodiment (such as the binding quality threshold in step 4, the contour similarity weight in step 2, the binding position abnormality weight and the binding position image abnormality weight, etc.) are obtained according to experiments conducted by technical personnel in this field, and the preferred acquisition method is: obtain image data of at least 500 groups of velvet flower products that need to be inspected after binding, binding position texture image data and position data corresponding to the velvet flowers after binding, and finally substitute the corresponding steps 2 and 3 into the binding quality analysis value calculation formula to calculate the binding quality analysis value. At the same time, experts are hired to make qualified judgments on these velvet flower products that need to be inspected, and the qualified judgment results and the binding quality analysis values ​​are substituted into the fitting software to obtain the values ​​of the relevant setting parameters that meet the maximum judgment accuracy.

[0020] Finally, the benefits of this embodiment are explained here. This embodiment performs a binding position abnormality analysis based on the binding position texture image data and the position data corresponding to the velvet flower after binding, and then performs a binding damage abnormality analysis based on the image data of the velvet flower product after binding. The velvet flower binding quality is analyzed by combining the binding position abnormality analysis results and the binding change abnormality analysis results. This application performs a comprehensive analysis of the texture image and position accuracy of the binding position after binding, accurately and efficiently evaluates the binding quality, and while evaluating the binding quality, takes into account the damage analysis to the product appearance during the binding process, and then comprehensively analyzes the binding quality of the product.

[0021] Example 2 like Figure 4 As shown, this embodiment provides a velvet flower product quality detection and evaluation system based on digitization, which is implemented based on the above-mentioned velvet flower product quality detection and evaluation method based on digitization, and specifically includes: a data acquisition module, used to acquire image data of the velvet flower product to be detected, and at the same time acquire binding position texture image data and position data corresponding to the velvet flower after binding; a position abnormality analysis module, which performs binding position abnormality analysis based on the binding position texture image data and the position data corresponding to the velvet flower after binding; a damage abnormality analysis module, which performs binding damage abnormality analysis based on the image data of the velvet flower product after binding; a binding quality analysis module, which is used to comprehensively analyze the binding position abnormality analysis results and the binding change abnormality analysis results to perform velvet flower binding quality analysis; and may also include a control module, which is used to control the operation of the data acquisition module, the position abnormality analysis module, the damage abnormality analysis module and the binding quality analysis module. At the same time, it should be noted that Figure 4 The direction of the arrow in the figure represents the direction of data transmission.

[0022] Example 3 This embodiment provides an electronic device, including: a processor and a memory, wherein the memory stores a computer program that can be called by the processor; The processor executes the above-mentioned method for detecting and evaluating the quality of velvet flower products based on digitization by calling the computer program stored in the memory.

[0023] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors and one or more memories, wherein the memory stores at least one computer program, and the computer program is loaded and executed by the processor to implement a digital-based velvet flower product quality detection and evaluation method provided in the above method embodiment. The electronic device may also include other components for realizing the functions of the device, for example, the electronic device may also have components such as a wired or wireless network interface and an input and output interface, so as to input and output data. This embodiment will not be described in detail here.

[0024] Example 4 This embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon; When the computer program runs on a computer device, the computer device is enabled to execute the above-mentioned method for detecting and evaluating the quality of velvet flower products based on digitalization.

[0025] For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0026] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When a computer instruction or computer program is loaded or executed on a computer, a process or function according to an embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network or other programmable device. Computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center through a wired network or / and a wireless network. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0027] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.

[0028] In addition, the parts of the above-mentioned technical solutions provided in the embodiments of the present application that are consistent with the implementation principles of the corresponding technical solutions in the prior art are not described in detail to avoid excessive redundancy.

[0029] The specific implementation modes as described above further describe the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation mode of the present invention and is not intended to limit the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A digital-based velvet flower product quality detection and evaluation method, characterized in that: It includes the following specific steps: Acquire the image data of the velvet flower product to be inspected, and simultaneously acquire the texture image data of the binding position and the position data corresponding to the velvet flower after binding; Perform binding position abnormality analysis based on the binding position texture image data and the position data corresponding to the velvet flower after binding; Perform binding damage anomaly analysis based on image data of bound velvet flower products; The quality analysis of velvet flower binding is carried out based on the abnormal analysis results of binding position and binding change.

2. A digital-based velvet flower product quality detection and evaluation method as claimed in claim 1, characterized in that: The binding position abnormality analysis based on the binding position texture image data and the position data corresponding to the velvet flower after binding comprises the following specific steps: Acquire all texture image data corresponding to the binding positions and the corresponding binding position data after binding; The obtained binding position data corresponding to the binding is imported into the binding position abnormal value calculation formula to calculate the binding position abnormal value, wherein the binding position abnormal value calculation formula is: , where xi is the distance from the i-th actual binding point to the corresponding standard binding point, m is the number of binding points, and xz is the safe offset distance of the binding point. In this formula, the binding offset distances of all binding points are comprehensively analyzed to analyze the abnormality of the binding position; Acquire texture image data corresponding to the binding position and texture image data required to be formed at the binding position, and import the acquired texture image data corresponding to the binding position and texture image data required to be formed at the binding position into a binding position image abnormality value calculation formula to calculate the binding position image abnormality value; The calculated binding position abnormality value and binding position image abnormality value are obtained, and the binding position abnormality analysis coefficient is obtained by weighting them respectively and then adding them.

3. A digital-based velvet flower product quality detection and evaluation method as claimed in claim 1, characterized in that: The binding damage abnormality analysis based on the image data of the bound velvet flower product comprises the following specific steps: Obtaining the orientation angle data of the fluff on both sides of the binding line when the product is placed vertically, and at the same time obtaining the standard orientation angle of the fluff on both sides when the product is placed vertically; The obtained orientation angle data of the fluff on both sides of the binding line when the product is placed vertically and the standard orientation angle of the fluff on both sides when the product is placed vertically are introduced into the binding damage abnormality analysis value calculation formula to calculate the binding damage abnormality analysis value, wherein the binding damage abnormality analysis value calculation formula is: , where M is the number of hairs on both sides of the binding line, is the orientation angle of the cth pile through which the binding line passes when the product is placed vertically, is the standard orientation angle of the cth fluff when the product is placed vertically, Lc is the vertical distance from the middle of the cth fluff to the binding line, and Lm is the length of the product.

4. A digital-based velvet flower product quality detection and evaluation method as claimed in claim 3, characterized in that: The velvet flower binding quality analysis based on the binding position abnormality analysis result and the binding change abnormality analysis result includes the following specific contents: obtaining the calculated binding position abnormality analysis coefficient and the binding damage abnormality analysis value, substituting the obtained binding position abnormality analysis coefficient and the binding damage abnormality analysis value into the binding quality analysis value calculation formula to calculate the binding quality analysis value, wherein the binding quality analysis value calculation formula is: , where Zw is the binding position abnormality analysis coefficient, and exp() is the power of the natural constant e; The calculated binding quality analysis value is compared with the set binding quality threshold. If the calculated binding quality analysis value is greater than or equal to the set binding quality threshold, the velvet flower product is judged to be qualified in binding. If the obtained binding quality analysis value is less than the set binding quality threshold, the velvet flower product is judged to be unqualified in binding.

5. A digital-based velvet flower product quality detection and evaluation method as claimed in claim 4, characterized in that: The calculation formula of the abnormal value of the binding position image is: , where a is the contour similarity weight, s() is the area of ​​the image in brackets, piz is the contour image of the i-th binding position, and piu is the standard contour image of the i-th binding position. is the intersection of the images, is the union of the images, Ni is the number of pixels at the i-th binding position, zij is the pixel value of the j-th pixel at the i-th binding position, and zijm is the standard pixel value of the j-th pixel at the i-th binding position.

6. A digital-based velvet flower product quality detection and evaluation method as claimed in claim 5, characterized in that: The specific contents of acquiring the image data of the velvet flower product to be detected and acquiring the binding position texture image data and the binding position data are as follows: Step 11, obtaining image data of the velvet flower product to be inspected after binding, obtaining image data of the velvet on both sides of the binding line from the image, and obtaining orientation angle data of the velvet on both sides of the binding line when the product is placed vertically; Step 12: Acquire texture image data corresponding to the binding position and corresponding binding position data after binding from the image data of the velvet flower product; Step 13: Store the acquired data in the storage component.

7. A digital-based velvet flower product quality detection and evaluation system, which is implemented based on the digital-based velvet flower product quality detection and evaluation method according to any one of claims 1 to 6, characterized in that: It specifically includes a data acquisition module, a position anomaly analysis module, a damage anomaly analysis module and a binding quality analysis module; wherein the data acquisition module is used to acquire the image data of the velvet flower product that needs to be detected, and at the same time acquire the binding position texture image data and the position data corresponding to the velvet flower after binding; the position anomaly analysis module performs a binding position anomaly analysis based on the binding position texture image data and the position data corresponding to the velvet flower after binding; the damage anomaly analysis module performs a binding damage anomaly analysis based on the image data of the velvet flower product after binding; and the binding quality analysis module is used to comprehensively analyze the binding position anomaly analysis results and the binding change anomaly analysis results to perform velvet flower binding quality analysis.

8. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the digital-based velvet flower product quality detection and evaluation method as described in any one of claims 1 to 6 by calling the computer program stored in the memory.

9. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to execute a digital-based velvet flower product quality detection and evaluation method as described in any one of claims 1 to 6.

Images