Automatic Optical Inspection System and Method for Surface Defects Based on Multispectral Spectral Imaging

Abstract

The invention belongs to the related technical field of image processing, and specifically discloses an automatic optical detection system and method for surface defects based on multispectral spectroscopic imaging. The system includes a hardware unit and a software unit, wherein the filter module in the hardware unit is used to filter the original light on the surface of the product to be inspected to obtain filtered light; the spectroscopic acquisition module is used to obtain two original images; the multi-spectral spectroscopic imaging in the software unit The module is used to adjust the composition of the filter module to obtain a preset number of original images; the multi-image fusion detection module is used to perform defect detection on the original image to obtain the surface defects of the product to be inspected; finally, the classification labeling module is used to classify the surface defects and callouts. The invention integrates color information into the detection process, fundamentally improves the amount of information required for defect detection, and at the same time incorporates the idea of ​​spectroscopic imaging, realizes further refinement of optical information, retains the authenticity of a large amount of information, and greatly provides detection accuracy.

Description

technical field [0001] The invention belongs to the technical field related to image processing, and more specifically relates to an automatic optical detection system and method for surface defects based on multi-spectral spectroscopic imaging. Background technique [0002] In the field of industrial manufacturing, the quality of raw materials varies, the manufacturing process is complex, and surface defects will occur on the surface of products, such as steel, wood, textiles, ceramic tiles and new display devices such as TFT-LCD, OLED, etc. Surface defects refer to localized areas that differ from the surrounding texture and pattern, or that have irregular brightness variations. These surface defects will directly reduce product quality and affect user experience. In order to improve production quality, all types of surface defects should be effectively controlled during the manufacturing process, so surface defect detection is the foundation and key of the entire manufac...

AI Technical Summary

Problems solved by technology

[0007] The hardware unit includes a filter module and a spectroscopic collection module, and the filter module is used to filter the original light on the surface of the product to be inspected to filter out light with interference wavelengths and improve the uneven illumination, thereby obtaining filtered light ; The spectroscopic acquisition module is used to perform spectroscopic processing and image acquisition on the filtered light, so as to obtain two original images with position information deviation;

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