UM
Multivariate morphological reconstruction based fuzzy clustering with a weighting multi-channel guided image filter for color image segmentation
Xu,Guangmei1; Zhou,Jin1; Dong,Jiwen1; Chen,C. L.Philip2; Zhang,Tong2; Chen,Long3; Han,Shiyuan1; Wang,Lin1; Chen,Yuehui1
2020-12-01
Source PublicationInternational Journal of Machine Learning and Cybernetics
ISSN1868-8071
Volume11Issue:12Pages:2793-2806
AbstractThe fuzzy c-means clustering with guided image filter (GF) is a useful method for image segmentation. The single-channel GF can be efficiently applied to the gray-scale guidance image, but for the color guidance image, due to the high run-time overhead on the calculation of the inverse of the covariance matrix, it is a hard work to perform the multi-channel GF. To address this issue, we propose a novel weighting multi-channel guided image filter (WMGF) method. In this method, each channel of the color guidance image is utilized to guide the filtering for the input image independently and a novel weight is defined for each channel according to the variance of the image pixels in a local window, which greatly eliminates the mutual influence between different channels and brings about a low run-time overhead. In addition, based on the WMGF method, we present a new fuzzy c-means clustering algorithm (FCM ) for the color image segmentation, in which the WMGF is performed on the membership matrix in each iteration of the fuzzy c-means clustering. To further enhance the different noise-immunity and edge preservation, the multivariate morphological reconstruction (MMR) method is introduced into the proposed fuzzy clustering method (MMR_FCM ) to obtain higher segmentation precision. Experiments on color images with Salt & Pepper and Gaussian noises demonstrate the superiority of the proposed methods.
KeywordColor image segmentation Fuzzy clustering Multi-channel guided filter Multivariate morphological reconstruction
DOI10.1007/s13042-020-01151-1
URLView the original
Language英语
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorZhou,Jin
Affiliation1.Shandong Provincial Key Laboratory of Network based Intelligent Computing,University of Jinan,Jinan,250022,China
2.School of Computer Science and Engineering,South China University of Technology,Guangzhou,510640,China
3.Department of Computer and Information Science,University of Macau,999078,Macao
Recommended Citation
GB/T 7714
Xu,Guangmei,Zhou,Jin,Dong,Jiwen,et al. Multivariate morphological reconstruction based fuzzy clustering with a weighting multi-channel guided image filter for color image segmentation[J]. International Journal of Machine Learning and Cybernetics,2020,11(12):2793-2806.
APA Xu,Guangmei,Zhou,Jin,Dong,Jiwen,Chen,C. L.Philip,Zhang,Tong,Chen,Long,Han,Shiyuan,Wang,Lin,&Chen,Yuehui.(2020).Multivariate morphological reconstruction based fuzzy clustering with a weighting multi-channel guided image filter for color image segmentation.International Journal of Machine Learning and Cybernetics,11(12),2793-2806.
MLA Xu,Guangmei,et al."Multivariate morphological reconstruction based fuzzy clustering with a weighting multi-channel guided image filter for color image segmentation".International Journal of Machine Learning and Cybernetics 11.12(2020):2793-2806.
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