一种电子换向器表面缺陷图像去噪和增强算法  

An Algorithm for Image Denoising and Enhancement of Surface Defects of Electronic Commutator

作　　者：彭宁 吴浩 漆梓渊 刘彦希 宋弘 PENG Ning;WU Hao;QI Zi-yuan;LIU Yan-xi;SONG Hong(School of Automation and Information Engineering,Sichuan University of Science&Engineering,643000,Zigong,Sichuan,China;School of Electronic Information and Automation,ABA Teachers University,624000,Aba,Sichuan,China)

机构地区：[1]四川轻化工大学自动化与信息工程学院,四川省自贡市643000 [2]阿坝师范学院电子信息与自动化学院,四川省阿坝市624000

出　　处：《河北水利电力学院学报》2023年第3期1-8,共8页Journal of Hebei University Of Water Resources And Electric Engineering

基　　金：四川省科技厅项目(2020YFG0178,2021YFG0313,2022YFS0518,2022ZHCG0035);人工智能四川省重点实验室项目(2019RYY01);企业信息化与物联网测控技术四川省高校重点实验室项目(2019WZY02,2020WZY02);自贡市科技局项目(2019YYJC13,2019YYJC02,2020YGJC16)。

摘　　要：针对电子换向器表面缺陷图像对比度低、细节不明显、噪声过多等问题,提出一种新的电子换向器缺陷图像增强方法:针对电子换向器表面存在的混合噪声问题,通过联合中值滤波和小波阈值进行去噪;然后通过DeBlurGAN V2网络将去噪后的图像进行去模糊处理;最后以优化的非锐化掩膜(USM)和自适应对比度增强算法(ACE)构建基于非锐化掩膜的局部自适应对比度增强算法(UACE)对处理后图像中的缺陷进行对比度增强。实验结果表明,处理后图像的峰值信噪比、对比度以及信息熵均有提升,不仅消除了图像中的噪声,还有效地提升了图像的对比度。Aiming at the problems of low contrast,obscure details and excessive noise of the surface defect image of electronic commutator in industry,a new image enhancement method for the surface defect image of electronic commutator is proposed in this paper.Firstly,aiming at the mixed noise problem on the surface of the electronic commutator,the median filter and wavelet threshold are combined to remove the noise.Then,the de-noised image is deblurred through DeBlurGAN V2 network.Finally,UACE,an adaptive contrast enhancement algorithm based on unsharp mask,is constructed with optimized USM and ACE to enhance the contrast of defects in the processed image.The experimental results show that the peak signal-to-noise ratio,contrast and information entropy of the image enhanced by the algorithm in this paper are improved,which proves that the algorithm in this paper can not only eliminate the noise in the image,but also effectively improve the contrast of the image.

关 键 词：电子换向器 中值滤波去噪 小波阈值去噪 自适应对比度增强 非锐化掩膜 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术] TN06[电子电信—物理电子学]