Method for detecting surface defects of dustproof cover of bearing based on machine vision

Abstract

The invention relates to a method for detecting surface defects of a dustproof cover of a bearing based on machine vision, which comprises the following steps: a, obtaining a gray level image of a to-be-detected bearing; b, carrying out separation on the gray level image so as to obtain a ring image of the dustproof cover of the bearing; c, carrying out grey level transformation and adaptive median filtering preprocessing on the ring image; d, carrying out threshold segmentation on the ring image by using a maximum interclass variance method, extracting an edge of the ring image of the dustproof cover of the bearing after threshold segmentation by using a Roberts edge detection operator; e, calculating the numbers of which the numerical values are 1 in the image area every two degrees for the ring image of the dustproof cover of the bearing; f, providing a template bearing image, and obtaining a deflection angle sigma through calculating; g, carrying out separation on the image so as to obtain character areas and non-character areas of the ring image of the dustproof cover of the bearing; and h, carrying out surface defect judgment on corresponding character areas and non-character areas in the ring image of the dustproof cover of the bearing according to the number of connected areas and the defect area. By using the method disclosed by the invention, automatic detection can be achieved, the visual detection workload of artificial detection is reduced, the detection efficiency is improved, and the method is safe and reliable.

Description

technical field [0001] The invention relates to a method for detecting surface defects of a bearing dust cover, in particular to a method for detecting surface defects of a bearing dust cover based on machine vision, which belongs to the technical field of machine vision. Background technique [0002] Bearings are widely used in the machinery industry. The quality of bearings is related to the performance and life of mechanical products. This is a problem that bearing manufacturers have always been concerned about. During the production and assembly of bearings, due to factors such as processing technology and tiny foreign matter, various defects such as indentations, scratches, and scratches will occur on the surface of the bearing dust cover. These defects make the bearing unsightly on the one hand, and more seriously But if the defect is too deep, it may rub against other parts of the machine during the bearing rotation, thereby reducing the performance of the bearing, af...

AI Technical Summary

Problems solved by technology

During the production and assembly of bearings, due to factors such as processing technology and tiny foreign matter, various defects such as indentations, scratches, and scratches will occur on the surface of the bearing dust cover. These defects make the bearing unsightly on the one hand, and more seriously However, if the defect is too deep, it may rub against other parts of the machine during the bearing rotation, thereby reducing the performance of the bearing, affecting the use of the machine equipped with the bearing, and causing various safety hazards; this will not only cause economic damage to the enterprise loss, and bring negative impact, damage the reputation of the enterprise

Due to the influence of the inspector's technology, experience, working environment and visual fatigue, it is easy to have false detection and missed detection, and the manual visual inspection has low efficiency, lack of accuracy and standardization, and the detection result is closely related to the ability and mental state of the inspector. The stability and reliability are relatively poor. In addition, the detection data cannot be classified and sent to the computer for quality management in real time.

In order to solve the problems of heavy workload, low efficiency and high missed detection rate of manual visual inspection, enterprises urgently need to introduce an automatic detection technology to replace manual operation, so as to achieve strict control of product quality while reducing labor costs

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