Image-based defect detection method and computer readable storage medium

Abstract

The invention relates to an image-based defect detection method and a computer readable storage medium. The method is suitable for detecting appearance defects of an object to be detected. The image defect detection method comprises the following steps: acquiring at least one image of a to-be-detected object; extracting a plurality of target defect sub-regions from the image; judging defect typesof the plurality of target defect sub-regions by utilizing a first processing method; generating at least one target defect area from the plurality of target defect sub-areas by using a second processing method; judging a first defect level of the target defect area according to a first criterion; and storing the first defect level. According to the invention, a first processing method is used todetermine defect types of a plurality of target defect subareas extracted from an image of a to-be-detected object; and at least one target defect area is generated from the plurality of target defectsubareas by using a second processing method, and the first defect level of the target defect area is judged according to a first criterion, so as to judge the defects of the to-be-detected object.

Description

technical field [0001] The invention relates to an image-based defect detection method and a computer-readable storage medium. Background technique [0002] The current product manufacturing industry is developing towards high precision and high quality, which makes precision parts prone to various defects such as collisions, crushing, and abrasions after processing, and the size of the defects reaches the micron level. At present, a large amount of testing manpower is required to detect the above flaw. However, inspectors need to be trained for a long time before they can accurately judge the type and level of defects, and inspectors are easily affected by subjective consciousness, emotion, vision and fatigue, resulting in unstable judgment accuracy. Although the use of automatic optical inspection equipment (Automated Optical Inspection, AOI) to take images and detect defects based on image processing technology can reduce a lot of manpower input, but the traditional mach...

AI Technical Summary

Problems solved by technology

However, inspectors need to be trained for a long time before they can accurately judge the type and level of defects, and inspectors are easily affected by subjective consciousness, emotion, vision and fatigue, resulting in unstable judgment accuracy

Although the use of automatic optical inspection equipment (Automated Optical Inspection, AOI) to take images and detect defects based on image processing technology can reduce a lot of manpower input, but the traditional machine vision appearance inspection based on image processing technology is not suitable for small and changeable defects. , unable to give accurate category and grade judgment

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