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題名 Region Description Using Extended Local Ternary Patterns
作者 Liao, Wen-hung
廖文宏
貢獻者 資科系
日期 2010
上傳時間 17-Jun-2015 16:38:24 (UTC+8)
摘要 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.
關聯 International Conference on Pattern Recognition - ICPR , pp. 1003-1006
資料類型 conference
DOI http://dx.doi.org/10.1109/ICPR.2010.251
dc.contributor 資科系-
dc.creator (作者) Liao, Wen-hung-
dc.creator (作者) 廖文宏-
dc.date (日期) 2010-
dc.date.accessioned 17-Jun-2015 16:38:24 (UTC+8)-
dc.date.available 17-Jun-2015 16:38:24 (UTC+8)-
dc.date.issued (上傳時間) 17-Jun-2015 16:38:24 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75911-
dc.description.abstract (摘要) 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.-
dc.format.extent 130 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) International Conference on Pattern Recognition - ICPR , pp. 1003-1006-
dc.title (題名) Region Description Using Extended Local Ternary Patterns-
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1109/ICPR.2010.251-
dc.doi.uri (DOI) http://dx.doi.org/10.1109/ICPR.2010.251-