Detection method based on a coupled illumination correction algorithm for the detection of surface defects in ZrO2 ceramic bearing balls
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Published:2022-09-12
Issue:27
Volume:61
Page:7813
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ISSN:1559-128X
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Container-title:Applied Optics
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language:en
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Short-container-title:Appl. Opt.
Author:
Tao Chen12,
Le Dong1,
Xin Zhang1,
Zhuting Jiang1,
Qi Zheng1,
Nanxing Wu12
Affiliation:
1. School of Mechanical and Electronic Engineering, Jingdezhen Ceramic University
2. Laboratory of Ceramic Material Processing Technology Engineering
Abstract
To address the problem of feature texture loss in defective images of zirconia bearing balls on unbalanced illumination backgrounds, a coupled algorithm of the local gamma function transform-block interpolation balancing equation is designed. A combination of a light reflection imaging model and a three-dimensional Gaussian surround function is used to extract the illumination estimate of the original image. Subsequent illumination balance correction is performed in the value color space. The contrast between the edges of the feature texture and the background is analyzed to construct a locally adaptive gamma function transformation model. We establish local block interpolation balance equations to eliminate the effects caused by illumination that is too high or too low. The experimental results show that the information entropy of the images after illumination correction changes in the range of 5% or less. The standard deviation and mean gradient can be increased by 15.21% and 14.78%, respectively.
Funder
National Natural Science Foundation of China
Youth Science Foundation of Jiangxi Province
Natural Science Foundation of Jiangxi Province
Publisher
Optica Publishing Group
Subject
Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering