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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
Source PublicationInternational Journal of Machine Learning and Cybernetics
ISSN1868-8071
Volume11Issue:12Pages:2793-2806
Abstract

The 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
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000542526400001
Scopus ID2-s2.0-85086775935
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Citation statistics
Cited Times [WOS]:5   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorZhou,Jin
Affiliation1.University of Jinan
2.South China University of Technology
3.University of Macau
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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