CN114743086A - A kind of line sequence identification detection method and system - Google Patents

Abstract

The invention relates to the technical field of line sequence detection, in particular to a line sequence identification detection method and system, wherein the method comprises: placing a standard cable on a background board, collecting an image of it, and removing the background to obtain a reference image; The pixel points are divided into several continuous areas and sorted as reference values; when the cable to be tested moves to the background plate, take a picture of it, and remove the background to obtain the image to be tested; divide the pixels in the image to be tested into several to be tested area, sort a number of areas to be measured along the order in the image to be measured, and take the average R value, G value, and B value for the pixels in each area to be measured as the measured value; The corresponding continuous areas are compared. If the difference between the value to be measured and the reference value is less than the predetermined threshold, it is judged that the color of the area to be measured and the continuous area are the same; Failed.

Description

A kind of line sequence identification detection method and system

technical field

The invention relates to the technical field of line sequence detection, in particular to a line sequence identification detection method and system.

Background technique

The automobile wiring harness is the network main body of the automobile circuit, connecting the electrical and electronic components of the automobile and making it function. Shells, etc., are bundled with wire harnesses to form components that connect circuits. With the increase of automobile functions, the widespread application of electronic control technology, and the increasing number of electrical components, the number of circuits and wiring harnesses on the automobile has increased significantly. The design and layout of automobile wiring harnesses have become a very important part of the automobile production process.

The connection between the wiring harness and the wiring harness, between the wiring harness and the electrical parts, adopts the connector or the wire lug, the connector is made of plastic, and there are plugs and sockets. The connection between the plug-ins or line lugs.

There are regulations for the color of the wires of the vehicle wiring harness. Different colors of wires are connected to different electronic components, so the wiring harnesses at the connector must be arranged in the specified order. If the order is confused, it will lead to circuit connection errors and even lead to short circuits. Serious consequences.

In view of the existence of the above problems, the designer, based on years of rich practical experience and professional knowledge in the application of such product engineering, and with the application of academic theory, actively researches and innovates, in order to create a line sequence identification and detection method and system, so that more practical.

The information disclosed in this Background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.

SUMMARY OF THE INVENTION

The present invention provides a line sequence identification and detection method and system, thereby effectively solving the problems in the background art.

In order to achieve the above purpose, the technical solution adopted in the present invention is: a line sequence identification detection method, comprising:

Place the standard cable on the background plate and keep the wires parallel to each other, collect an image of it, and remove the background to obtain a reference image;

Divide the pixels in the reference image into several continuous areas, sort the several continuous areas according to the line order, and take the average R value, G value, and B value of the pixels in each continuous area as the reference value;

When the cable to be tested moves to the background plate, take a picture of it, and remove the background to get the image to be tested;

Divide the pixel points in the image to be measured into several areas to be measured, sort the several areas to be measured along the order in the image to be measured, and take the average R value, G value, and B value for the pixels in each area to be measured, as the value to be measured. measured value;

Comparing the sorted area to be measured with the corresponding continuous area in order, if the difference between the measured value and the reference value is less than a predetermined threshold, it is determined that the color of the to-be-measured area and the continuous area are the same;

If there is an area to be tested with a color different from that of the continuous area, the cable sequence is judged to be unqualified.

Further, the background removal comprises the steps:

Taking pictures of the background plate to obtain the first image;

Take an image of the cable on the background plate to get a second image;

The intersection is subtracted from the union of the pixel point set in the second image and the first image to obtain the set of pixel points after the background has been removed.

Further, a positioning area is set on the background plate, and when the cable to be tested moves to the background plate, when the color and/or brightness of the positioning area in the collected second image is different from the positioning area in the first image, the entire second image will be affected. The color and/or brightness is filled, and then the background is removed.

Further, dividing the pixels in the reference image into several continuous areas and dividing the pixels in the image to be measured into several areas to be measured includes the following steps:

Step 1: Traverse each pixel in the image, take one of the pixels as the starting point, establish a first pixel set, and put the coordinates of the starting point into the first pixel set;

Step 2: If there is a pixel point in the 8 pixel point area around the starting point, then judge that the pixel point and the starting point are adjacent pixel points, and put the pixel point coordinates into the first pixel point set;

Step 3: Until the remaining pixel points of the image, there is no pixel point that is adjacent to any pixel point in the first pixel point set;

Step 4: In the remaining pixels of the image, use any one of the pixel points as the starting point to establish a second pixel point set, and put the coordinates of the starting point into the second pixel point set;

Steps 2 to 4 are repeated until the pixels in the image are divided into several pixel sets, which are used as several continuous areas or several areas to be measured.

Further, before the sequenced area to be measured is compared with the corresponding continuous area in order, the continuous area and the number of the area to be measured are compared first, and if the area to be measured m is less than the continuous area n, the line sequence is judged to be unqualified. ; If the area to be measured m is greater than the continuous area n, remove the area to be measured with the smallest number of pixels, and m=m-1 until m=n.

Further, before the sequence of the several regions to be tested is sorted along the order in the image to be tested, the deviation of each region to be tested is first corrected, including the following steps:

Connect any two pixel points whose distance is greater than the preset value in the area to be measured, and calculate the slope of the connection to obtain the range of the slope of the area to be measured;

determining the median slope value within the slope range;

The entire region to be measured is rotated until the median value of the slope is rotated to 0.

Further, when sorting a number of areas to be measured along the order in the image to be measured, the rotated areas to be measured are sorted into 1 to m and m to 1 according to the Y axis of the image, and the areas to be measured are sorted according to 1 to m and 1 to 1. M to 1 are respectively compared with the corresponding continuous areas. If the corresponding area to be tested in one sequence is the same color as the continuous area, it is judged that the cable sequence is qualified.

Further, the preset value is at least twice the number of pixels occupied by the width of the wires in the cable.

Further, when the entire area to be measured is rotated, the rotation point is the pixel point with the smallest coordinate x+y in the area to be measured.

The present invention also includes a line sequence identification detection system, comprising:

A conveying assembly, a background plate, a camera, a memory, a processor, and a computer program stored on the memory and running on the processor, the processor is electrically connected to the camera, the conveying assembly transports the cable to be measured, and the to-be-measured cable is transported. When the cable moves to the background plate, the camera takes a picture of it, and when the processor executes the computer program, the above method is implemented.

The beneficial effects of the present invention are as follows: the present invention first collects images of the standard cable, obtains the color of each wire sequence in the standard cable, makes reference, then collects the image of the cable to be tested, and removes the background to obtain the image to be tested. There are several areas to be measured, which represent several wires in the cable to be measured. Compare them with the corresponding continuous areas one by one in order. If the difference between the measured value and the reference value is less than the predetermined threshold, judge the two colors. The same, if all the areas to be tested and the corresponding continuous areas have the same color, it means that the line sequence of the cables and wires to be tested is qualified. detection is more accurate.

Description of drawings

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments described in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

Figure 1 is a flow chart of the method of the present invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments.

As shown in Figure 1: a line sequence identification detection method, including:

Place the standard cable on the background plate and keep the wires parallel to each other, collect an image of it, and remove the background to obtain a reference image;

Divide the pixels in the reference image into several continuous areas, sort the several continuous areas according to the line order, and take the average R value, G value, and B value of the pixels in each continuous area as the reference value;

When the cable to be tested moves to the background plate, take a picture of it, and remove the background to get the image to be tested;

Divide the pixel points in the image to be measured into several areas to be measured, sort the several areas to be measured along the order in the image to be measured, and take the average R value, G value, and B value for the pixels in each area to be measured, as the value to be measured. measured value;

Comparing the sorted area to be measured with the corresponding continuous area in order, if the difference between the measured value and the reference value is less than a predetermined threshold, it is determined that the color of the to-be-measured area and the continuous area are the same;

If there is an area to be tested with a color different from that of the continuous area, the cable sequence is judged to be unqualified.

By first collecting images of the standard cable, the color of each wire in the standard cable is obtained for reference, and then the image of the cable to be tested is collected, and the image to be measured is obtained after removing the background. Several wires in the cable to be tested are compared with the corresponding continuous areas one by one in order. If the difference between the tested value and the reference value is less than the predetermined threshold, it is judged that the two colors are the same. If the color of the corresponding continuous area is the same, it means that the line sequence of the cable to be tested is qualified. By comparing the average R value, G value, and B value of the pixel points in the area to be tested and the continuous area, the detection is more accurate.

In this embodiment, removing the background includes the following steps:

Taking pictures of the background plate to obtain the first image;

Take an image of the cable on the background plate to get a second image;

The intersection is subtracted from the union of the pixel point set in the second image and the first image to obtain the set of pixel points after the background has been removed.

By subtracting the intersection of the set of pixel points in the second image and the first image, the difference between the second image and the first image is determined, and the difference is extracted to be the cable to be tested, reducing subsequent processing. The number of pixels to improve processing efficiency.

Sometimes due to changes in ambient light, when the cable to be tested is photographed, the brightness and color of the image will be different from the reference image, which will affect the subsequent recognition accuracy. Therefore, a positioning area is set on the background plate. On the background plate, when the color and/or brightness of the location area in the captured second image is different from the location area in the first image, fill in the overall color and/or brightness of the second image, and then remove the background.

In this embodiment, dividing the pixels in the reference image into several continuous areas and dividing the pixels in the image to be measured into several areas to be measured includes the following steps:

Step 1: Traverse each pixel in the image, take one of the pixels as the starting point, establish a first pixel set, and put the coordinates of the starting point into the first pixel set;

Step 2: If there is a pixel point in the 8 pixel point area around the starting point, then judge that the pixel point and the starting point are adjacent pixel points, and put the pixel point coordinates into the first pixel point set;

Step 3: Until the remaining pixel points of the image, there is no pixel point that is adjacent to any pixel point in the first pixel point set;

Step 4: In the remaining pixels of the image, use any one of the pixel points as the starting point to establish a second pixel point set, and put the coordinates of the starting point into the second pixel point set;

Steps 2 to 4 are repeated until the pixels in the image are divided into several pixel sets, which are used as several continuous areas or several areas to be measured.

The adjacent pixels in the image are put into a pixel set, which is regarded as a continuous area or a to-be-measured area, so as to facilitate the subsequent judgment of color and line order.

In a qualified cable, the number of areas to be tested should be the same as the number of continuous areas. If the number of areas to be tested is less than the number of continuous areas, it means that the number of cables and wires to be tested is small, and it is definitely unqualified. There may be noise, so the number of areas to be tested will be more than the number of continuous areas. Therefore, before comparing the sorted areas to be measured with the corresponding continuous areas in order, first compare the number of continuous areas and the number of areas to be measured. If the area to be measured m is smaller than the continuous area n, the line sequence is judged to be unqualified, and subsequent color comparison is not required to reduce the processing load; if the area to be measured m is greater than the continuous area n, the area to be measured with the smallest number of pixels is removed, and m=m-1, until m=n. If the number of areas to be measured is more than the continuous area, it means that there is noise in the image. By removing the area to be measured with the smallest number of pixels each time, there is no need to reduce the average value of the image. Noise or Gaussian noise reduction to increase processing speed.

When taking pictures of the cable to be tested, the wires in the cable to be tested are not necessarily parallel to each other, which may interfere with the subsequent sorting, thereby affecting the judgment of the line sequence. Before sorting, correct the deviation of each area to be tested, including the following steps:

Connect any two pixel points whose distance is greater than the preset value in the area to be measured, and calculate the slope of the connection to obtain the range of the slope of the area to be measured;

Determine the median slope value within the slope range, which will be close to the length extension direction of the wires in the cable to be tested;

Therefore, the entire area to be measured is rotated until the median value of the slope is rotated to 0, so that the area to be measured is rotated to be approximately horizontal, so that there is no deviation during sorting.

Among them, when sorting a number of areas to be measured along the order in the image to be measured, the rotated areas to be measured are sorted into 1 to m and m to 1 according to the Y-axis of the image, and the areas to be measured are sorted according to 1 to m and m to 1 They are compared with the corresponding continuous areas respectively. If the corresponding area to be tested in one order is the same color as the continuous area, it is judged that the cable sequence is qualified.

Since the cable to be tested may be in an inverted state on the background board, the line sequence is opposite to the standard line sequence. Therefore, when sorting, the test area will be 1 to m and m to 1 respectively and the corresponding continuous area. Compare, if one of the sequences is qualified, judge that the line sequence of the cable to be tested is qualified.

In this embodiment, the preset value is at least twice the number of pixels occupied by the width of the wires in the cable.

If two adjacent pixels are connected in the area to be measured, it may cause a large deviation between the slope and the extension direction of the length of the wire, resulting in a large deviation in the rotation angle of the area to be measured. The default value is at least twice the number of pixels the width of the wires in the cable occupies.

As a preference of the above embodiment, when the entire region to be tested is rotated, the rotation point is the pixel point with the smallest coordinate x+y in the region to be tested.

When the area to be tested is rotated, the pixel point closest to the lower left corner of the image in the area to be tested is taken as the rotation point to ensure that the area to be tested is the order of the wires in the cable to be tested after rotation, thereby ensuring the accuracy of detection.

This embodiment also includes a line sequence identification detection system, including:

Conveying component, background plate, camera, memory, processor, and a computer program stored on the memory and running on the processor, the processor is electrically connected to the camera, the conveying component transports the cable to be tested, and the cable to be tested moves to the background When it is at the board, the camera takes a picture of it, and when the processor executes the computer program, the above-mentioned method is implemented.

In the description of the present invention, the terms "first" and "second" are only used for the purpose of description, and cannot be understood as indicating or implying relative importance or implying the number of indicated technical features. Thus, a feature defined as "first" or "second" may expressly or implicitly include one or more of that feature. "Plurality" means two or more, unless expressly specifically limited otherwise.

In the present invention, unless otherwise expressly specified and limited, the terms "installed", "connected", "connected", "fixed" and other terms should be understood in a broad sense, for example, it may be a fixed connection or a detachable connection , or integrated; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, and it can be the internal connection of the two elements or the interaction relationship between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

In the description of this specification, description with reference to the terms "one embodiment," "some embodiments," "example," "specific example," or "some examples", etc., mean specific features described in connection with the embodiment or example , structure, material or feature is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, those skilled in the art may combine and combine the different embodiments or examples described in this specification, as well as the features of the different embodiments or examples, without conflicting each other.

Any description of a process or method in the flowcharts or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing a specified logical function or step of the process , and the scope of the preferred embodiments of the invention includes alternative implementations in which the functions may be performed out of the order shown or discussed, including performing the functions substantially concurrently or in the reverse order depending upon the functions involved, which should It is understood by those skilled in the art to which the embodiments of the present invention belong.

The logic and/or steps represented in flowcharts or otherwise described herein, for example, may be considered an ordered listing of executable instructions for implementing the logical functions, may be embodied in any computer-readable medium, For use with, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other system that can fetch instructions from and execute instructions from an instruction execution system, apparatus, or apparatus) or equipment. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport the program for use by or in connection with an instruction execution system, apparatus, or apparatus. More specific examples (non-exhaustive list) of computer readable media include the following: electrical connections with one or more wiring (electronic devices), portable computer disk cartridges (magnetic devices), random access memory (RAM), Read Only Memory (ROM), Erasable Editable Read Only Memory (EPROM or Flash Memory), Fiber Optic Devices, and Portable Compact Disc Read Only Memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program may be printed, as the paper or other medium may be optically scanned, for example, followed by editing, interpretation, or other suitable medium as necessary process to obtain the program electronically and then store it in computer memory.

It should be understood that various parts of the present invention may be implemented in hardware, software, firmware or a combination thereof. In the above-described embodiments, various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented by any one or a combination of the following techniques known in the art: Discrete logic circuits, ASICs with suitable combinational logic gates, Programmable Gate Arrays (PGA), Field Programmable Gate Arrays (FPGA), etc.

Those skilled in the art can understand that all or part of the steps carried by the methods of the above embodiments can be completed by instructing the relevant hardware through a program, and the program can be stored in a computer-readable storage medium, and the program can be stored in a computer-readable storage medium. When executed, one or a combination of the steps of the method embodiment is included.

The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, and the like. Although the embodiments of the present invention have been shown and described above, it should be understood that the above-mentioned embodiments are exemplary and should not be construed as limiting the present invention. Embodiments are subject to variations, modifications, substitutions and variations.

Claims (10)

1. a line sequence identification detection method, is characterized in that, comprises the steps: Place the standard cable on the background plate and keep the wires parallel to each other, collect an image of it, and remove the background to obtain a reference image; Divide the pixels in the reference image into several continuous areas, sort the several continuous areas according to the line order, and take the average R value, G value, and B value of the pixels in each continuous area as the reference value; When the cable to be tested moves to the background plate, take a picture of it, and remove the background to get the image to be tested; Divide the pixel points in the image to be measured into several areas to be measured, sort the several areas to be measured along the order in the image to be measured, and take the average R value, G value, and B value for the pixels in each area to be measured, as the value to be measured. measured value; Comparing the sorted area to be measured with the corresponding continuous area in order, if the difference between the measured value and the reference value is less than a predetermined threshold, it is determined that the color of the to-be-measured area and the continuous area are the same; If there is an area to be tested with a color different from that of the continuous area, the cable sequence is judged to be unqualified. 2. The line sequence identification detection method according to claim 1, wherein the background removal comprises the steps: Taking pictures of the background plate to obtain the first image; Take an image of the cable on the background plate to get a second image; The intersection is subtracted from the union of the pixel point set in the second image and the first image to obtain the set of pixel points after the background has been removed. 3. The line sequence identification detection method according to claim 2, wherein a positioning area is set on the background plate, and when the cable to be tested moves to the background plate, the color of the positioning area and/or the color of the positioning area in the collected second image When the brightness is different from the positioning area in the first image, fill in the overall color and/or brightness of the second image, and then remove the background. 4. The line sequence identification and detection method according to claim 1, wherein, dividing the pixels in the reference image into several continuous areas and dividing the pixels in the image to be measured into several areas to be measured, It includes the following steps: Step 1: Traverse each pixel in the image, take one of the pixels as the starting point, establish a first pixel set, and put the coordinates of the starting point into the first pixel set; Step 2: If there is a pixel point in the 8 pixel point area around the starting point, then judge that the pixel point and the starting point are adjacent pixel points, and put the pixel point coordinates into the first pixel point set; Step 3: Until the remaining pixel points of the image, there is no pixel point that is adjacent to any pixel point in the first pixel point set; Step 4: In the remaining pixels of the image, use any one of the pixel points as the starting point to establish a second pixel point set, and put the coordinates of the starting point into the second pixel point set; Steps 2 to 4 are repeated until the pixels in the image are divided into several pixel sets, which are several continuous areas or several areas to be measured. 5. The line sequence identification and detection method according to claim 4, characterized in that, before the sequenced area to be tested is compared with the corresponding continuous area in order, the continuous area and the quantity of the area to be tested are compared first, If the area to be measured m is less than the continuous area n, the line sequence is judged to be unqualified; if the area to be measured m is greater than the continuous area n, the area to be measured with the smallest number of pixels is removed, and m=m-1 until m=n. 6. The line sequence identification and detection method according to claim 1, wherein before the sequence of several regions to be tested is sorted along the order in the image to be tested, each region to be tested is first corrected for deviation, comprising the following steps: Connect any two pixel points whose distance is greater than the preset value in the area to be measured, and calculate the slope of the connection to obtain the slope range of the area to be measured; determining the median slope value within the slope range; The entire region to be measured is rotated until the median value of the slope is rotated to 0. 7 . The line sequence recognition and detection method according to claim 6 , wherein when sorting a plurality of regions to be tested along the order in the image to be tested, the rotated regions to be tested are sorted into 1 according to the Y-axis of the image. 8 . To m and m to 1, compare the area to be tested with the corresponding continuous area according to 1 to m and m to 1 respectively. If the corresponding area to be tested in one order is the same color as the continuous area, it is judged that the cable sequence is qualified. 8 . The line sequence identification and detection method according to claim 6 , wherein the preset value is at least twice the number of pixels occupied by the width of the wires in the cable. 9 . 9 . The line sequence identification and detection method according to claim 6 , wherein when the entire area to be measured is rotated, the rotation point is the pixel point with the smallest coordinate x+y in the area to be measured. 10 . 10. A line sequence identification detection system, characterized in that, comprising: A conveying assembly, a background plate, a camera, a memory, a processor, and a computer program stored on the memory and running on the processor, the processor is electrically connected to the camera, the conveying assembly transports the cable to be tested, and the When the cable moves to the background plate, the camera takes a picture of it, and when the processor executes the computer program, the method according to any one of claims 1-9 is implemented.

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