Residual-sparse fuzzy C-Means clustering incorporating morphological reconstruction and wavelet frames

Residual-sparse fuzzy C-Means clustering incorporating morphological reconstruction and wavelet frames

In this article, we develop a residual-sparse Fuzzy C-Means (FCM) algorithm for image segmentation, which furthers FCM's robustness by realizing the favorable estimation of the residual (e.g., unknown noise) between an observed image and its ideal version (noise-free image). To achieve a sound...

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Bibliographic Details
Main Authors: Wang, Cong, Pedrycz, Witold, Li, Zhiwu, Zhou, Mengchu, Zhao, Jun
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Fuzzy C-Means
Image Segmentation
Online Access:https://hdl.handle.net/10356/162759
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/162759

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