Texture surface defect detection method and system based on abnormal synthesis and decomposition

Abstract

The invention discloses a texture surface defect detection method and system based on abnormal synthesis and decomposition, and belongs to the field of image processing. According to the method, a segmentation-guided defect generation network is constructed, a large number of defect samples similar to real defects can be generated by using a small number of real defect training samples, and meanwhile, an anomaly synthesis method based on Gaussian sampling is provided, and anomaly negative samples can be randomly synthesized by using defect-free positive samples, so that the problem of small quantity of defect samples in industry can be solved; the defect detection precision is further improved; according to the method and system, the abnormal negative sample is decomposed into the texture background image and the abnormal mask image by adopting the abnormal decomposition network, so that defects can be effectively prevented from being reconstructed into the texture background, the texture background reconstruction precision is improved, the defect area can be accurately segmented, and the residual image and the abnormal segmentation image are fused; therefore, the defect detection rate is improved, and the defect over-detection rate is reduced.

Description

technical field [0001] The invention belongs to the field of image processing, and more specifically relates to a texture surface defect detection method and system based on abnormal synthesis and decomposition. Background technique [0002] In the field of industrial manufacturing, the quality of raw materials for various industrial products is different, and the manufacturing process is complicated. Various surface defects are unavoidable on the surface of products, such as textiles, new display devices, ceramics, steel, etc. Surface defects refer to localized areas that differ from the surrounding texture and pattern, or that have irregular brightness variations. Since the surface of various products often presents different texture features, these texture surface defects will directly reduce product quality and affect user experience. To improve production quality, all types of surface defects should be strictly controlled during the manufacturing process. The texture...

AI Technical Summary

Problems solved by technology

Existing methods can only be adapted to one or several types of textures (for example, they can only detect display devices, but cannot be applied to wood surfaces), and can only detect fixed types of texture defects (for example, they can only detect high-contrast defects, but cannot detect low-contrast defects. defects), it is difficult to solve all cases

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