| dc.contributor | 資科系 | - |
| dc.creator (作者) | Liao, Wen-Hung | - |
| dc.creator (作者) | 廖文宏 | zh_TW |
| dc.date (日期) | 2010-08 | - |
| dc.date.accessioned | 29-Jun-2015 17:54:21 (UTC+8) | - |
| dc.date.available | 29-Jun-2015 17:54:21 (UTC+8) | - |
| dc.date.issued (上傳時間) | 29-Jun-2015 17:54:21 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/76128 | - |
| 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.relation (關聯) | 20th International Conference on Pattern Recognition, pp. 1003-1006 | - |
| dc.subject (關鍵詞) | local binary patterns; local ternary patterns; spectral clustering | - |
| dc.title (題名) | Region description using extended local ternary patterns | - |
| dc.type (資料類型) | conference | en |
| dc.identifier.doi (DOI) | 10.1109/ICPR.2010.251 | - |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1109/ICPR.2010.251 | - |
