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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/74486

Title:	Incorporating fuzziness in extended local ternary patterns
Authors:	Liao, Wen-Hung 廖文宏
Contributors:	資科系
Keywords:	Clustering operation;Descriptors;Feature representation;Fuzzy C mean;Fuzzy members;Image regions;Local patterns;Local ternary patterns;Mapping mechanism;Soft histograms;Texture classification;Thresholding;Fuzzy set theory;Fuzzy systems
Date:	2012
Issue Date:	2015-04-10 17:26:11 (UTC+8)
Abstract:	Local binary/ternary patterns are widely employed to describe the structure of an image region. However, local patterns are very sensitive to noise due to the thresholding process. In this paper, we propose two different approaches to incorporate fuzziness in extended local ternary patterns (ELTP) to enhance the robustness of this class of operator to interferences. The first approach replaces the ternary mapping mechanism with fuzzy member functions to arrive at a fuzzy ELTP representation. The second approach modifies the clustering operation in formulating ELTP to a fuzzy C-means procedure to construct soft histograms in the final feature representation, denoted as FCM-ELTP. Both fuzzy descriptors have proven to exhibit better resistance to noise in the experiments designed to compare the performance of ELTP and the newly proposed fuzzy ELTP and FCM-ELTP. © 2012 IEEE.
Relation:	Proceedings - 2012 IEEE International Symposium on Multimedia, ISM 2012 10.1109/ISM.2012.36
Data Type:	conference
DOI 連結:	http://dx.doi.org/10.1109/ISM.2012.36
DOI:	10.1109/ISM.2012.36
Appears in Collections:	[資訊科學系] 會議論文

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