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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/76128

Title:	Region description using extended local ternary patterns
Authors:	Liao, Wen-Hung 廖文宏
Contributors:	資科系
Keywords:	local binary patterns;local ternary patterns;spectral clustering
Date:	2010-08
Issue Date:	2015-06-29 17:54:21 (UTC+8)
Abstract:	The local binary pattern (LBP) operator is a computationally efficient local texture descriptor and has found many useful applications. However, its sensitivity to noise and the high dimensionality of histogram associated with a mediocre size neighborhood have raised some concerns. In this paper, we attempt to improve the original LBP by proposing a novel extension named extended local ternary pattern (ELTP). We will investigate the characteristics of ELTP in terms of noise sensitivity, discriminability and computational efficiency. Preliminary experimental results have shown better efficacy of ELTP over the original LBP.
Relation:	20th International Conference on Pattern Recognition, pp. 1003-1006
Data Type:	conference
DOI 連結:	http://dx.doi.org/10.1109/ICPR.2010.251
DOI:	10.1109/ICPR.2010.251
Appears in Collections:	[資訊科學系] 會議論文

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