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
CN113160154APending Publication Date: 2021-07-23HANGZHOU DIANZI UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Applications(China)
Current Assignee / Owner
HANGZHOU DIANZI UNIV
Publication Date
2021-07-23

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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.
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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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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