Bearing defect damage degree evaluation method and system based on image processing

A damage degree and image processing technology, applied in the field of defect identification, can solve the problems of inability to distinguish defective pixels, inability to obtain accurate defective pixels, etc., and achieve a strong reference effect.

Pending Publication Date: 2022-07-22
南通同欧智能装备科技有限公司
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  • Abstract
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Problems solved by technology

However, for images with inconspicuous defect features, accurate defective pixels cannot be obtained through the defect probability. A defect probabili

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  • Bearing defect damage degree evaluation method and system based on image processing
  • Bearing defect damage degree evaluation method and system based on image processing
  • Bearing defect damage degree evaluation method and system based on image processing

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Embodiment Construction

[0027] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the following describes a method and system for evaluating the damage degree of bearing defects based on image processing according to the present invention with reference to the accompanying drawings and preferred embodiments, The specific implementation, structure, features and effects thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" are not necessarily referring to the same embodiment. Furthermore, the particular features, structures, or characteristics in one or more embodiments may be combined in any suitable form.

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0029] The specific scheme of th...

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Abstract

The invention relates to the technical field of defect identification, in particular to a bearing defect damage degree evaluation method and system based on image processing. According to the method, a first suspected defect pixel point and a defect pixel point are obtained through a defect detection network; gray triads of the first suspected defect pixel points are obtained, and second suspected defect pixel points are screened out according to changes of gray information between the adjacent gray triads. And judging the category of the second suspected defective pixel points by continuously changing the neighborhood range of the second suspected pixel points, and removing the second suspected pixel points representing normal pixel points to obtain complete defective pixel points. And obtaining the damage degree according to the distribution information and the category number of the gray triads of the defect pixel points. According to the invention, accurate positioning and analysis of defect positions are realized.

Description

technical field [0001] The invention relates to the technical field of defect identification, in particular to a method and system for evaluating the damage degree of bearing defects based on image processing. Background technique [0002] During the production process of bearings, there will be defects such as pitting, scratches and cracks on the surface. These defects have obvious characteristics and are easy to identify. Defective bearings can be detected by manual or optical devices, and the defects can be removed by grinding and other methods. However, when the grinding allowance is small, the defects on the bearing surface cannot be completely eliminated, and some defects will be damaged. The damage characteristics of these defects are not obvious and are not easy to be detected, which will affect the service life of the bearing. [0003] In the prior art, a machine learning method can be used to analyze the bearing image to obtain the defect position and its correspo...

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Application Information

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IPC IPC(8): G06T7/00G06T7/73G06V10/22G06V10/764G06K9/62
CPCG06T7/0004G06T7/73G06T2207/20081G06T2207/30242G06F18/2415
Inventor 胡琼甘慧
Owner 南通同欧智能装备科技有限公司
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