Visual inspection method for step defects of bearing rivets

Abstract

The invention provides a visual inspection method for step defects of bearing rivets. The method comprises the following steps: step 1, bearing rivet image acquisition; step 2, bearing rivet image preprocessing; step 3, inner step defect detection; step 4, outer step defect detection; step 5, result analysis for judging qualification of rivets, wherein unqualified phenomena comprise inner step defects, outer step defects, inner and outer step defects or other types of defects. The method has the following advantages: 1) rivet regions are positioned reasonably and the defects are detected with an adaptive detection method, and the algorithm robustness is good; 2) in the aspect of detection of rivet inner step defects, an region labeling method is good in stability; 3) for inner steps, the inner step judging accuracy is enhanced with a secondary region labeling algorithm; 4) during outer step detection, outer ring parameters are detected firstly through Hough Transform, then whether outer step regions are effective or not is judged according to a geometric constraint relation between outer rings and rivet regions, judgment is effective, and misjudgment is avoided.

Description

technical field [0001] The invention relates to a visual inspection method for step defects of bearing rivets, in particular to a method for detecting rivet defects based on machine vision, using methods such as image filtering, area marking, morphology, Hough transform, and geometric constraints, which belong to machine vision field of visual technology. Background technique [0002] At present, my country's bearing industry still has problems such as low manufacturing technology level and low industry concentration. It is far from the standard of a bearing power, and the contradictions in the industry are prominent: if the development mode has not changed fundamentally, the deep-seated contradictions in the industrial structure are still prominent. Lack of independent intellectual property rights of core technology, slow progress in brand building, and unreasonable product structure. In recent years, the bearing industry has adopted a large number of automated stand-alone ...

AI Technical Summary

Problems solved by technology

[0005] In view of a series of problems in manual testing, bearing manufacturers have widely used contact instrument testing, but this traditional testing technology is difficult to meet the needs. There are many processes in the bearing assembly process, and the requirements for quality and precision are also increasing. The higher it is, the more difficult it is to use contact detection, and the efficiency is low

[0006] Considering that the existing defect detection technology is difficult to fully meet the needs of industrial inspection, the image-based machine vision inspection method has the advantages of non-contact, real-time reliability, low cost, and high degree of automation, which can provide a good solution for this problem. Alternatives and Solutions

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