An adaptive spatial information-theoretic fuzzy clustering algorithm for image segmentation
This paper presents an adaptive spatial information-theoretic fuzzy clustering algorithm to improve the robustness of the conventional fuzzy c-means (FCM) clustering algorithms for image segmentation. This is achieved through the incorporation of information-theoretic framework into the FCM-type alg...
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Main Authors: | Wang, Zhimin, Song, Qing, Soh, Yeng Chai, Sim, Kang |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2013
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/99253 http://hdl.handle.net/10220/17364 |
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Institution: | Nanyang Technological University |
Language: | English |
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