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Method and system for detecting paint spraying defects of five-star feet based on machine vision

A technology of machine vision and detection method is applied in the field of detection methods and systems for spray paint defects of five-star feet, which can solve the problems of low reliability of detection results and low degree of automatic detection, and achieves high degree of automation, simple structure, and convenient use and operation. Effect

Pending Publication Date: 2021-07-23
HANGZHOU DIANZI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The disadvantage is that the reliability of the test results is low, and the degree of automatic detection is also low.

Method used

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  • Method and system for detecting paint spraying defects of five-star feet based on machine vision
  • Method and system for detecting paint spraying defects of five-star feet based on machine vision
  • Method and system for detecting paint spraying defects of five-star feet based on machine vision

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Embodiment 1

[0038] The present embodiment provides a kind of detection system based on machine vision five-star base paint defect, such as figure 1 As shown, it includes camera 1, lighting module 2, image acquisition module 3, main control module 4, transmission device 5, parts to be detected 6 and other parts; wherein, the camera is connected with the image acquisition module, and the image acquisition module is connected with the main control module ; The part to be detected is set on the conveying device.

[0039] The camera adopts a CCD camera, and the CCD camera mainly has the advantages of not being disturbed by strong light, small distortion, and fast shooting speed, and is used for image acquisition of the part 6 to be inspected;

[0040] The lighting module 2 is used for accurate lighting compensation on the surface of the part 6 to be detected;

[0041] The image acquisition module 3 is an image acquisition card, which is used to utilize the CCD camera to acquire images, and th...

Embodiment 2

[0057] This embodiment provides a machine vision-based detection method for five-star foot paint defects, including steps:

[0058] S1. Adjust the parameters of the detection device and turn on the camera;

[0059] S2. Obtain the image of the part to be detected by the camera;

[0060] S3. Perform median filter processing on the collected image of the part to be detected to obtain an image after median filter processing;

[0061] S4. Convert the image processed by the median filter into a binarized image, and perform a fixed threshold binarization process on the binarized image to obtain an area with a gray value;

[0062] S5. Calculating the area of ​​the region with the gray value to obtain the area of ​​the part to be detected;

[0063] S6. Perform template matching on the image after the median filtering process obtained in step S3 to obtain similarity;

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Abstract

The invention discloses a method and system for detecting paint spraying defects of five-star feet based on machine vision, and the method comprises the steps: S1, adjusting parameters of a detection device, and turning on a camera; S2, acquiring an image of a to-be-detected part acquired by the camera; S3, performing median filtering on an image of the to-be-detected part to acquire an image after median filtering; S4, converting the processed image into a binarized image, and carrying out fixed threshold binarization on the binarized image to obtain an area with a gray value; S5, calculating the area of the area to obtain the area of the to-be-detected part; s6, performing template matching on the image after median filtering obtained in the step S3 to obtain similarity; and S7, calculating the difference between the area of the to-be-detected part obtained in the step S5 and the area of a standard part, and judging whether the to-be-detected part meets conditions or not according to the obtained similarity and the calculated difference to obtain a final detection result.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a machine vision-based detection method and system for five-star base spray paint defects. Background technique [0002] Traditional appearance defect inspection methods include manual visual inspection and stroboscopic light inspection. The speed of the automated production line is so fast that the human eye cannot quickly capture accurate defect information, especially for some small defects, the human naked eye cannot distinguish whether it is qualified or not, which leads to the problems of low defect detection accuracy and high false detection rate . Stroboscopic light detection is mainly based on the static response of the human retina to a certain pulse of light. The method is to combine a specific camera and a stroboscopic light source to determine the surface condition of the workpiece by fixedly observing the detector. The disadvantage is that the reliabilit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/62G06T5/00G06T5/20G06K9/62
CPCG06T7/0008G06T7/62G06T5/20G01N21/8851G01N21/01G01N2021/0112G01N2021/8887G06T2207/10004G06T2207/30164G06T2207/20032G06V10/751G06T5/90Y02P90/30
Inventor 陈国金徐超达
Owner HANGZHOU DIANZI UNIV
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