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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Main Authors: | , , , , |
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其他作者: | |
格式: | Article |
語言: | English |
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2022
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在線閱讀: | https://hdl.handle.net/10356/162759 |
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機構: | Nanyang Technological University |
語言: | English |