Defect detection method and device based on cotton thread angle

Abstract

The embodiments of this specification provide a defect detection method and device based on cotton thread angle, wherein the defect detection method based on cotton thread angle includes: acquiring a material image, extracting a detection area based on the material image; wherein the material image includes a cotton thread image; extracting a material area and a frame area in the detection area, and determining intersection information based on the material area and the frame area; splitting and integrating the detection area based on the intersection information to determine a merged area; performing angle discrimination based on the merged area to determine a target defect. By processing the material image including the cotton thread image, defect detection is achieved through the angle of the cotton thread, thereby improving the accuracy of defect detection.

Description

Technical Field

[0001] The embodiments of this specification relate to the field of image processing technology, and in particular to a defect detection method based on cotton thread angle. Background Art

[0002] When detecting leaking steel wire or PE film on the tire surface, since there is cotton thread on the tire surface and the imaging of the cotton thread and the steel wire is basically the same, it is necessary to perform morphological analysis to distinguish and detect normal cotton thread from leaking steel wire.

[0003] When rubber tires are spliced, the cotton thread may break or become misaligned, but this is not a defect, so this situation needs to be accommodated and cannot be reported as a defect.

[0004] Therefore, a better solution is urgently needed. Summary of the invention

[0005] In view of this, the embodiments of this specification provide a defect detection method based on cotton thread angle. One or more embodiments of this specification also relate to a defect detection device based on cotton thread angle, a computing device, a computer readable storage medium and a computer program to solve the technical defects existing in the prior art.

[0006] According to a first aspect of an embodiment of this specification, a defect detection method based on cotton thread angle is provided, comprising:

[0007] Acquire a material image, and extract a detection area based on the material image; wherein the material image includes a cotton thread image;

[0008] Extracting a material area and a border area in the detection area, and determining intersection information based on the material area and the border area;

[0009] Split and integrate the detection area based on the intersection information to determine the merged area;

[0010] Angle discrimination is performed based on the merged area to determine the target defect.

[0011] In a possible implementation, extracting a material area and a border area in a detection area includes:

[0012] Based on the grayscale threshold, the cotton thread area and the metal area are extracted in the detection area;

[0013] Determining material regions based on material regions and metal regions;

[0014] Generates a bounding box area based on the material area.

[0015] In a possible implementation, determining the intersection information based on the material area and the border area includes:

[0016] Cotton thread and metal are determined based on the material area, and four borders are determined based on the border area;

[0017] Based on the determined intersection information of cotton thread, metal and four borders.

[0018] In a possible implementation, the detection area is split and integrated based on the intersection information to determine the merged area, including:

[0019] Based on the intersection information, the material area is divided into a single intersection area, a double intersection area and a non-intersection area;

[0020] The single intersection area, the double intersection area and the no-intersection area are merged to determine the merged area.

[0021] In a possible implementation, angle discrimination is performed based on the merged area to determine the target defect, including:

[0022] Calculating angle information of a single-intersection area, a double-intersection area, and a non-intersection area, and determining an average angle based on the angle information;

[0023] Determine an angle difference based on the angle information of the no-intersection area and the average angle;

[0024] The target defect is determined based on the angle difference and the angle threshold.

[0025] In a possible implementation, determining a target defect based on an angle difference and an angle threshold includes:

[0026] When the angle difference is greater than the angle threshold, the non-intersection area is determined as a pending defect;

[0027] Generate a rectangular area based on the non-intersection area;

[0028] The target defect is determined based on the rectangular area and the pending defects.

[0029] In a possible implementation, determining a target defect based on a rectangular area and a pending defect includes:

[0030] Determine the intersection area based on the rectangular area and the cotton thread area;

[0031] The average angle of the cotton threads in the intersection area is determined, and the target defect is determined based on the angle difference corresponding to the area to be determined and the average angle of the cotton threads.

[0032] According to a second aspect of the embodiments of this specification, a defect detection device based on cotton thread angle is provided, comprising:

[0033] An image acquisition module is configured to acquire a material image and extract a detection area based on the material image; wherein the material image includes a cotton thread image;

[0034] An intersection determination module is configured to extract a material area and a frame area in the detection area, and determine intersection information based on the material area and the frame area;

[0035] A region merging module is configured to split and integrate the detection region based on the intersection information to determine the merged region;

[0036] The defect determination module is configured to perform angle discrimination based on the merged area to determine the target defect.

[0037] According to a third aspect of an embodiment of this specification, a computing device is provided, including:

[0038] Memory and processor;

[0039] The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the above-mentioned cotton thread angle-based defect detection method are implemented.

[0040] According to a fourth aspect of the embodiments of this specification, a computer-readable storage medium is provided, which stores computer-executable instructions, and when the instructions are executed by a processor, the steps of the above-mentioned defect detection method based on cotton thread angle are implemented.

[0041] According to a fifth aspect of the embodiments of this specification, a computer program is provided, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned defect detection method based on cotton thread angle.

[0042] The embodiments of this specification provide a defect detection method and device based on cotton thread angle, wherein the defect detection method based on cotton thread angle includes: acquiring a material image, extracting a detection area based on the material image; wherein the material image includes a cotton thread image; extracting a material area and a frame area in the detection area, and determining intersection information based on the material area and the frame area; splitting and integrating the detection area based on the intersection information to determine a merged area; performing angle discrimination based on the merged area to determine a target defect. By processing the material image including the cotton thread image, defect detection is achieved through the angle of the cotton thread, thereby improving the accuracy of defect detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a flow chart of a defect detection method based on cotton thread angle provided by an embodiment of this specification;

[0044] Figure 2 is a schematic diagram of an original image of a defect detection method based on cotton thread angle provided in an embodiment of this specification;

[0045] Figure 3It is a schematic diagram of a detection area of ​​a defect detection method based on cotton thread angle provided in an embodiment of this specification;

[0046] Figure 4 It is a schematic diagram of an extraction area of ​​a defect detection method based on cotton thread angle provided in an embodiment of this specification;

[0047] Figure 5 It is a schematic diagram of extracting a border of a defect detection method based on cotton thread angle provided by an embodiment of this specification;

[0048] Figure 6 It is a schematic diagram of a decomposed frame of a defect detection method based on cotton thread angle provided by an embodiment of this specification;

[0049] Figure 7 It is a schematic diagram of the intersection area of ​​a defect detection method based on cotton thread angle provided in one embodiment of this specification;

[0050] Figure 8 It is a schematic diagram of a merged area of ​​a defect detection method based on cotton thread angle provided in an embodiment of this specification;

[0051] Fig. 9 It is a horizontal rectangular schematic diagram of a defect detection method based on cotton thread angle provided by an embodiment of this specification;

[0052] Fig.10 It is a schematic diagram of defect display effect of a defect detection method based on cotton thread angle provided by an embodiment of this specification;

[0053] Fig.11 It is a structural schematic diagram of a defect detection device based on cotton thread angle provided by an embodiment of this specification;

[0054] Fig.12 It is a structural block diagram of a computing device provided by an embodiment of this specification. DETAILED DESCRIPTION

[0055] Many specific details are described in the following description to facilitate a full understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of this specification, so this specification is not limited to the specific implementation disclosed below.

[0056] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0057] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0058] In this specification, a defect detection method based on cotton thread angle is provided. This specification also relates to a defect detection device based on cotton thread angle, a computing device, and a computer-readable storage medium, which are described in detail one by one in the following embodiments.

[0059] See also Figure 1 , Figure 1 A flow chart of a defect detection method based on cotton thread angle provided according to an embodiment of the present specification is shown, which specifically includes the following steps.

[0060] Step 101: Acquire a material image, and extract a detection area based on the material image; wherein the material image includes a cotton thread image.

[0061] In practical applications, see Figure 2 , obtain the material image, the material image includes cotton thread and leaking metal, and determine the monitoring area on the material image, such as Figure 3 shown.

[0062] Step 102: extracting a material area and a frame area in the detection area, and determining intersection information based on the material area and the frame area.

[0063] In a possible implementation, extracting a material area and a border area in the detection area includes: extracting a cotton thread area and a metal area in the detection area based on a grayscale threshold; determining a material area based on the material area and the metal area; and generating a border area based on the material area.

[0064] In practical applications, see Figure 4, by setting the grayscale threshold, all cotton threads and leaking steel wire areas are extracted. Figure 5 , extract the border of the detection area.

[0065] In a possible implementation, intersection information is determined based on the material area and the border area, including: determining cotton thread and metal based on the material area, determining four borders based on the border area; and determining intersection information based on the cotton thread and metal and the four borders.

[0066] In practical applications, see Figure 6 a, b, c and d, divide the extracted border into four areas: upper, lower, left and right, traverse the extracted cotton thread and leaking metal area, determine whether the area intersects with the upper, lower, left and right border areas, and calculate the number of intersections with the border. In this way, when the cotton thread and leaking metal bifurcate and multiple intersections appear with the same border, it is recorded as one intersection.

[0067] Step 103: Split and integrate the detection area based on the intersection information to determine the merged area.

[0068] In one possible implementation, the detection area is split and integrated based on the intersection information to determine the merged area, including: based on the intersection information, dividing the material area into a single intersection area, a double intersection area and a non-intersection area; merging the single intersection area, the double intersection area and the non-intersection area to determine the merged area.

[0069] In practical applications, see Figure 7 a, b, c, according to the number of intersections, the area is classified into single intersection area, double intersection area and no intersection area. Figure 8 , merge all regions into one region and calculate the average angle of the entire region.

[0070] Step 104: Perform angle discrimination based on the merged area to determine the target defect.

[0071] In one possible implementation, angle discrimination is performed based on the merged area to determine the target defect, including: calculating the angle information of the single intersection area, the double intersection area and the non-intersection area, and determining the average angle based on the angle information; determining the angle difference based on the angle information of the non-intersection area and the average angle; and determining the target defect based on the angle difference and the angle threshold.

[0072] Further, determining the target defect based on the angle difference and the angle threshold includes: when the angle difference is greater than the angle threshold, determining the non-intersection area as a pending defect; generating a rectangular area based on the non-intersection area; and determining the target defect based on the rectangular area and the pending defect.

[0073] In practical applications, the non-intersection area is traversed, and the difference between the angle of the non-intersection area and the average angle is calculated. If the difference is greater than the set threshold, the area is listed as a suspected defect.

[0074] Furthermore, the target defect is determined based on the rectangular area and the defect to be determined, including: determining the intersection area based on the rectangular area and the cotton thread area; determining the average angle of the cotton threads in the intersection area, and determining the target defect based on the angle difference corresponding to the area to be determined and the average angle of the cotton threads.

[0075] In practical applications, see Fig. 9 , intersect the horizontal rectangle with the entire non-defective area to obtain the cotton thread area adjacent to the defect. Calculate the difference between the average angle of the adjacent cotton thread area and the angle of the suspected defect area. Determine whether the defect is a real defect. After determining that it is a real defect, refer to Fig.10 , showing the defect detection results.

[0076] The embodiments of this specification provide a defect detection method and device based on cotton thread angle, wherein the defect detection method based on cotton thread angle includes: acquiring a material image, extracting a detection area based on the material image; wherein the material image includes a cotton thread image; extracting a material area and a frame area in the detection area, and determining intersection information based on the material area and the frame area; splitting and integrating the detection area based on the intersection information to determine a merged area; performing angle discrimination based on the merged area to determine a target defect. By processing the material image including the cotton thread image, defect detection is achieved through the angle of the cotton thread, thereby improving the accuracy of defect detection.

[0077] Furthermore, the embodiments of the present specification can extract all suspected defect areas through the overall average angle, and can avoid misjudgment of defects caused by jitter by comparing the angles of adjacent cotton threads of suspected defects.

[0078] Corresponding to the above method embodiment, this specification also provides an embodiment of a defect detection device based on cotton thread angle, Fig.11 FIG. 1 is a schematic diagram showing a defect detection device based on cotton thread angle provided by an embodiment of the present specification. Fig.11 As shown, the device comprises:

[0079] The image acquisition module 1101 is configured to acquire a material image and extract a detection area based on the material image; wherein the material image includes a cotton thread image;

[0080] The intersection determination module 1102 is configured to extract the material area and the frame area in the detection area, and determine the intersection information based on the material area and the frame area;

[0081] The region merging module 1103 is configured to split and integrate the detection region based on the intersection information to determine the merged region;

[0082] The defect determination module 1104 is configured to perform angle discrimination based on the merged area to determine the target defect.

[0083] In a possible implementation, the intersection determination module 1102 is further configured to:

[0084] Based on the grayscale threshold, the cotton thread area and the metal area are extracted in the detection area;

[0085] Determining material regions based on material regions and metal regions;

[0086] Generates a bounding box area based on the material area.

[0087] In a possible implementation, the intersection determination module 1102 is further configured to:

[0088] Cotton thread and metal are determined based on the material area, and four borders are determined based on the border area;

[0089] Based on the determined intersection information of cotton thread, metal and four borders.

[0090] In a possible implementation, the region merging module 1103 is further configured to:

[0091] Based on the intersection information, the material area is divided into a single intersection area, a double intersection area and a non-intersection area;

[0092] The single intersection area, the double intersection area and the no-intersection area are merged to determine the merged area.

[0093] In a possible implementation, the defect determination module 1104 is further configured to:

[0094] Calculating angle information of a single-intersection area, a double-intersection area, and a non-intersection area, and determining an average angle based on the angle information;

[0095] Determine an angle difference based on the angle information of the no-intersection area and the average angle;

[0096] The target defect is determined based on the angle difference and the angle threshold.

[0097] In a possible implementation, the defect determination module 1104 is further configured to:

[0098] When the angle difference is greater than the angle threshold, the non-intersection area is determined as a pending defect;

[0099] Generate a rectangular area based on the non-intersection area;

[0100] The target defect is determined based on the rectangular area and the pending defects.

[0101] In a possible implementation, the defect determination module 1104 is further configured to:

[0102] Determine the intersection area based on the rectangular area and the cotton thread area;

[0103] The average angle of the cotton threads in the intersection area is determined, and the target defect is determined based on the angle difference corresponding to the area to be determined and the average angle of the cotton threads.

[0104] The embodiments of this specification provide a defect detection method and device based on cotton thread angle, wherein the defect detection device based on cotton thread angle includes: acquiring a material image, extracting a detection area based on the material image; wherein the material image includes a cotton thread image; extracting a material area and a frame area in the detection area, and determining intersection information based on the material area and the frame area; splitting and integrating the detection area based on the intersection information to determine a merged area; performing angle discrimination based on the merged area to determine a target defect. By processing the material image including the cotton thread image, defect detection is achieved through the angle of the cotton thread, thereby improving the accuracy of defect detection.

[0105] The above is a schematic scheme of a defect detection device based on cotton thread angle of this embodiment. It should be noted that the technical scheme of the defect detection device based on cotton thread angle and the technical scheme of the defect detection method based on cotton thread angle belong to the same concept, and the details of the technical scheme of the defect detection device based on cotton thread angle that are not described in detail can be found in the description of the technical scheme of the defect detection method based on cotton thread angle.

[0106] Fig.12 The block diagram of a computing device 1200 according to one embodiment of the present specification is shown. The components of the computing device 1200 include but are not limited to a memory 1210 and a processor 1220. The processor 1220 is connected to the memory 1210 via a bus 1230, and the database 1250 is used to store data.

[0107] The computing device 1200 also includes an access device 1240 that enables the computing device 1200 to communicate via one or more networks 1260. Examples of these networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. The access device 1240 may include one or more of any type of network interface (e.g., a network interface card (NIC)) of wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a world-wide interoperability for microwave access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, and a near field communication (NFC).

[0108] In one embodiment of the present specification, the above components of the computing device 1200 and Fig.12 Other components not shown in the figure may also be connected to each other, for example, via a bus. It should be understood that Fig.12 The computing device structure block diagram shown is only for the purpose of illustration, and is not intended to limit the scope of this specification. Those skilled in the art can add or replace other components as needed.

[0109] The computing device 1200 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, a personal digital assistant, a laptop computer, a notebook computer, a netbook, etc.), a mobile phone (e.g., a smart phone), a wearable computing device (e.g., a smart watch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or a personal computer (PC). The computing device 1200 may also be a mobile or stationary server.

[0110] Among them, the processor 1220 is used to execute the following computer executable instructions, which, when executed by the processor, implement the steps of the above-mentioned defect detection method based on cotton thread angle. The above is a schematic scheme of a computing device of this embodiment. It should be noted that the technical scheme of the computing device and the technical scheme of the above-mentioned defect detection method based on cotton thread angle belong to the same concept. The details not described in detail in the technical scheme of the computing device can be found in the description of the technical scheme of the above-mentioned defect detection method based on cotton thread angle.

[0111] An embodiment of the present specification also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the above-mentioned cotton thread angle-based defect detection method.

[0112] The above is a schematic scheme of a computer-readable storage medium of this embodiment. It should be noted that the technical scheme of the storage medium and the technical scheme of the defect detection method based on the cotton thread angle are of the same concept, and the details not described in detail in the technical scheme of the storage medium can be found in the description of the technical scheme of the defect detection method based on the cotton thread angle.

[0113] An embodiment of the present specification also provides a computer program, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned defect detection method based on cotton thread angle.

[0114] The above is a schematic scheme of a computer program of this embodiment. It should be noted that the technical scheme of the computer program and the technical scheme of the defect detection method based on the cotton thread angle are of the same concept, and the details not described in detail in the technical scheme of the computer program can be found in the description of the technical scheme of the defect detection method based on the cotton thread angle.

[0115] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0116] The computer instructions include computer program codes, which may be in source code form, object code form, executable files or some intermediate forms, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0117] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of this specification are not limited by the order of the actions described, because according to the embodiments of this specification, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0118] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0119] The preferred embodiments of this specification disclosed above are only used to help explain this specification. The optional embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of the embodiments of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of this specification, so that technicians in the relevant technical field can understand and use this specification well. This specification is limited only by the claims and their full scope and equivalents.

Claims

1. A defect detection method based on cotton thread angle, characterized in that: include: Acquire a material image, and extract a detection area based on the material image; wherein the material image includes a cotton thread image; Extracting a material area and a frame area in the detection area, and determining intersection information based on the material area and the frame area; Splitting and integrating the detection area based on the intersection information to determine a merged area; Perform angle discrimination based on the merged area to determine the target defect; The step of splitting and integrating the detection area based on the intersection information to determine a merged area includes: Based on the intersection information, the material region is divided into a single intersection region, a double intersection region and a no intersection region; Merging the single-intersection area, the double-intersection area and the non-intersection area to determine a merged area; The step of performing angle discrimination based on the merged area to determine the target defect includes: Calculating angle information of the single-intersection area, the double-intersection area, and the non-intersection area, and determining an average angle based on the angle information; Determine an angle difference based on the angle information of the non-intersection area and the average angle; A target defect is determined based on the angle difference and the angle threshold.

2. The method according to claim 1, characterized in that Extracting the material area and the border area in the detection area includes: Based on the grayscale threshold, a cotton thread area and a metal area are extracted in the detection area; determining a material region based on the material region and the metal region; A border area is generated based on the material area.

3. The method according to claim 1, characterized in that The determining the intersection information based on the material area and the border area includes: Determine cotton thread and metal based on the material area, and determine four borders based on the border area; Based on the determined intersection information of the cotton thread and the metal and the four borders.

4. The method according to claim 1, characterized in that: The determining the target defect based on the angle difference and the angle threshold comprises: When the angle difference is greater than the angle threshold, determining the non-intersection area as a pending defect; Generate a rectangular area based on the non-intersection area; A target defect is determined based on the rectangular area and the defect to be determined.

5. The method according to claim 4, characterized in that The determining of the target defect based on the rectangular area and the undetermined defect comprises: Determine an intersection area based on the rectangular area and the cotton thread area; An average angle of the cotton threads in the intersection area is determined, and a target defect is determined based on the angle difference corresponding to the pending defect and the average angle of the cotton threads.

6. A defect detection device based on cotton thread angle, used to implement the steps of the defect detection method based on cotton thread angle according to any one of claims 1 to 5, characterized in that: include: An image acquisition module is configured to acquire a material image and extract a detection area based on the material image; wherein the material image includes a cotton thread image; An intersection determination module is configured to extract a material area and a frame area in the detection area, and determine intersection information based on the material area and the frame area; A region merging module is configured to split and integrate the detection region based on the intersection information to determine a merged region; The defect determination module is configured to perform angle discrimination based on the merged area to determine a target defect.

7. A computing device, characterized in that include: Memory and processor; The memory is used to store computer executable instructions, and the processor is used to execute the computer executable instructions. When the computer executable instructions are executed by the processor, the steps of the cotton thread angle-based defect detection method described in any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the cotton thread angle-based defect detection method as described in any one of claims 1 to 5.

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