| 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) | 2012 | |
| dc.date.accessioned | 10-Apr-2015 17:26:11 (UTC+8) | - |
| dc.date.available | 10-Apr-2015 17:26:11 (UTC+8) | - |
| dc.date.issued (上傳時間) | 10-Apr-2015 17:26:11 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/74486 | - |
| dc.description.abstract (摘要) | 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. | |
| dc.format.extent | 176 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Proceedings - 2012 IEEE International Symposium on Multimedia, ISM 2012 | |
| dc.relation (關聯) | 10.1109/ISM.2012.36 | |
| dc.subject (關鍵詞) | 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 | |
| dc.title (題名) | Incorporating fuzziness in extended local ternary patterns | |
| dc.type (資料類型) | conference | en |
| dc.identifier.doi (DOI) | 10.1109/ISM.2012.36 | en_US |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1109/ISM.2012.36 | en_US |
