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題名 Texture classification using uniform extended local ternary patterns
作者 Liao, Wen-Hung;Young, T.-J.
廖文宏
貢獻者 資科系
關鍵詞 Comparative performance analysis; Descriptors; Feature descriptors; Local binary patterns; Local ternary patterns; Noise resistivity; Texture classification; Texture image; Uniform pattern; Textures
日期 2010
上傳時間 20-May-2015 17:03:22 (UTC+8)
摘要 We present an extension to the well-known local binary pattern (LBP) feature descriptor. The newly defined descriptor known as extended local ternary pattern (ELTP) exhibits better noise resistivity than the original LBP, while maintaining computational simplicity. We further investigate the presence of uniform patterns in ELTP. With a slight modification in the definition of uniformity, it is found experimentally that uniform ELTP account for 80% of all patterns in texture images. Comparative performance analysis indicates that the proposed uniform ELTP is more effective than uniform LBP for texture classification tasks. © 2010 IEEE.
關聯 Proceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010
資料類型 conference
DOI http://dx.doi.org/10.1109/ISM.2010.35
dc.contributor 資科系
dc.creator (作者) Liao, Wen-Hung;Young, T.-J.
dc.creator (作者) 廖文宏zh_TW
dc.date (日期) 2010
dc.date.accessioned 20-May-2015 17:03:22 (UTC+8)-
dc.date.available 20-May-2015 17:03:22 (UTC+8)-
dc.date.issued (上傳時間) 20-May-2015 17:03:22 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75198-
dc.description.abstract (摘要) We present an extension to the well-known local binary pattern (LBP) feature descriptor. The newly defined descriptor known as extended local ternary pattern (ELTP) exhibits better noise resistivity than the original LBP, while maintaining computational simplicity. We further investigate the presence of uniform patterns in ELTP. With a slight modification in the definition of uniformity, it is found experimentally that uniform ELTP account for 80% of all patterns in texture images. Comparative performance analysis indicates that the proposed uniform ELTP is more effective than uniform LBP for texture classification tasks. © 2010 IEEE.
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Proceedings - 2010 IEEE International Symposium on Multimedia, ISM 2010
dc.subject (關鍵詞) Comparative performance analysis; Descriptors; Feature descriptors; Local binary patterns; Local ternary patterns; Noise resistivity; Texture classification; Texture image; Uniform pattern; Textures
dc.title (題名) Texture classification using uniform extended local ternary patterns
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1109/ISM.2010.35
dc.doi.uri (DOI) http://dx.doi.org/10.1109/ISM.2010.35