Surface defect automatic optical detection system and method based on multispectral spectroscopic imaging

Abstract

The invention belongs to the technical field related to image processing, and discloses a surface defect automatic optical detection system and method based on multispectral spectral imaging. The system comprises a hardware unit and a software unit; a filtering module in the hardware unit is used for filtering original light on the surface of a to-be-detected product to obtain filtered light; a light splitting acquisition module is used for acquiring two original images; a multispectral spectroscopic imaging module in the software unit is used for adjusting the composition of the filtering module to obtain a preset number of original images; a multi-image fusion detection module is used for performing defect detection on the original images to obtain surface defects of the to-be-detected product; and finally, a classifying and labeling module is used to classify and label the surface defects. Color information is fused into the detection process, the amount of information required by defect detection is fundamentally increased, meanwhile, the idea of light splitting imaging is adopted, optical information can be refined again, and authenticity of a large amount of information is reserved, and detection accuracy is greatly improved.

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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