Multivariate morphological reconstruction based fuzzy clustering with a weighting multi-channel guided image filter for color image segmentation-Reference-Cited by-同舟云学术

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Multivariate morphological reconstruction based fuzzy clustering with a weighting multi-channel guided image filter for color image segmentation

Published:2020-06-23 Issue:12 Volume:11 Page:2793-2806
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Xu Guangmei,Zhou Jin,Dong Jiwen,Chen C. L. Philip,Zhang Tong,Chen Long,Han Shiyuan,Wang Lin,Chen Yuehui

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-020-01151-1.pdf

Reference34 articles.

1. Ahmed MN, Yamany SM, Mohamed N, Farag AA, Moriarty T (2002) A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data. IEEE Trans Med Imaging 21(3):193–199

2. Aragon Y, Casanova S, Chambers R, Leconte E (2005) Conditional ordering using nonparametric expectiles. J Off Stat 21(4):617–633

3. Arbelaez P, Maire M, Fowlkes C, Malik J (2010) Contour detection and hierarchical image segmentation. IEEE Trans Pattern Anal Mach Intell 33(5):898–916

4. Bezdek JC, Ehrlich R, Full W (1984) Fcm: the fuzzy c-means clustering algorithm. Comput Geosci 10(2–3):191–203

5. Carpineto C, Romano G (2012) Consensus clustering based on a new probabilistic rand index with application to subtopic retrieval. IEEE Trans Pattern Anal Mach Intell 34(12):2315–2326

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