Workpiece surface defect detection method and device

Abstract

The invention discloses a workpiece surface detection method. An input image of a workpiece is converted into a grayscale image, and is subjected to binary processing, then an outline of the workpiece is extracted, the grayscale image of the workpiece is extracted, through filter processing of the grayscale image, a strip-shaped texture which is in an included angle of five degrees in the vertical direction and the horizontal direction of the surface to which the workpiece belongs is filtered out, edge sharpening processing and self-adaptive binary processing are conducted, then an outline image is obtained, a patch with a preset size is utilized to be subjected to outline detection processing, accordingly a corresponding characteristic vector is obtained, the characteristic vector is substituted into a beforehand trained SVM model for judgment calculation, a result of the judgment calculation is output, and thus an image of a corresponding range of the workpiece can be accurately and fast extracted. The calculation amount of a subsequent processing process is drastically reduced, meanwhile, interference can be avoided, the precision of judgment is improved, and the robustness is improved at the same time.

Description

technical field [0001] The invention relates to the field of workpiece quality detection, in particular to a method and device for detecting surface defects of a workpiece. Background technique [0002] The continuous progress of human society is closely related to the use of new materials to some extent. For example, the introduction and use of bronze and steel have greatly improved the productivity and production efficiency of human society, so it is of epoch-making significance. Since the beginning of the 20th century, polymer materials, another innovation in the field of materials, are affecting the development of human society more and more profoundly. Plastic is a kind of polymer material we are familiar with. It has the advantages of low density, light weight, good insulation performance, low dielectric loss, high chemical stability and good wear resistance. It is widely used in industry, agriculture, construction, national defense, etc. The growth rate of cutting-ed...

AI Technical Summary

Problems solved by technology

[0003] The main purpose of the present invention is to provide a method and device for detecting workpiece surface defects, aiming to solve the problem that manual detection methods can only sort products with obvious shapes and surface defects, and due to the subjective factors of the inspected personnel The impact is great, the real-time performance is poor, the false detection rate is high, and quantitative description cannot be made, which affects the accuracy and reliability of the evaluation.

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