Steel plate surface defect detection and recognition system and method based on machine vision

Abstract

The invention discloses a steel plate surface defect detection and recognition system and method based on machine vision, and relates to the field of machine vision detection.The system comprises an illumination module, an image acquisition module, an acquisition control module and a defect detection and recognition module; the illumination module and the image acquisition module are combined to form two light paths which are placed above the surface of a detected steel plate; the acquisition control module comprises a PC and is used for providing a square wave signal, and the image acquisition module is triggered by the square wave signal and is used for acquiring a surface image of a detected steel plate; the defect detection and recognition module is installed on the PC and used for conducting defect detection and positioning on the surface image of the detected steel plate. The system realizes non-contact steel plate surface defect detection and identification, has the advantages of high acquisition speed, high resolution, high detection precision, high detection speed, high classification and identification precision and the like, is simple to operate and low in installation complexity, facilitates later maintenance and use of the detection system, and has a wide application prospect.

Description

technical field [0001] The invention relates to the field of machine vision detection, in particular to a machine vision-based detection and recognition system and method for steel plate surface defects. Background technique [0002] Machine vision technology is an interdisciplinary subject involving artificial intelligence, neurobiology, psychophysics, computer science, image processing, pattern recognition and many other fields. Machine vision technology mainly uses computers to simulate human visual functions, extracts information from images of objective things, processes and understands them, and finally uses them in actual detection, measurement and control, mainly including image collection, processing, analysis, output, Research on storage and display, etc. Surface defects, size, and shape are important characteristics of steel surface quality. Using machine vision to detect can not only eliminate the interference of human subjective factors, but also quantitatively...

AI Technical Summary

Problems solved by technology

The detection technology realized by traditional optical, electrical and magnetic signals has certain limitations in the detection occasions, that is, in the detection speed, detection accuracy and the number of defects detected, and they are only suitable for some occasions with low detection requirements.

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