會議論文
| 學年 | 101 |
|---|---|
| 學期 | 2 |
| 發表日期 | 2013-02-24 |
| 作品名稱 | Extracting and Labelling the Objects from an Image by Using the Fuzzy Clustering Algorithm and a New Cluster Validity |
| 作品名稱（其他語言） | |
| 著者 | Chou, Chien-Hsing; Hsieh, Yi-Zeng; Su, Mu-Chun; Chu, Yung-Long |
| 作品所屬單位 | 淡江大學電機工程學系 |
| 出版者 | IACSIT Press |
| 會議名稱 | 2013 2nd International Conference on Information Computer Application (ICICA 2013) |
| 會議地點 | 羅馬, 義大利 |
| 摘要 | Many real-world and man-made objects are line symmetry. To detection the line-symmetry objects from an image, in this paper, a new cluster validity measure which adopts a non-metric distance measure based on the idea of "line symmetry" is presented. The thresholding technique is first applied to extract the objects from the original image; and the object pixels are transferred to be the data patterns. Then the fuzzy clustering algorithm is applied to label the object pixels; and the proposed validity measure is used in determining the number of objects. Simulation results are used to illustrate the performance of the proposed measure. |
| 關鍵字 | extract object;cluster validity;clustering algorithm;line symmetry;similarity measure |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | |
| 研討會時間 | 20130224~20130225 |
| 通訊作者 | |
| 國別 | ITA |
| 公開徵稿 | Y |
| 出版型式 | |
| 出處 | 2013 2nd International Conference on Information Computer Application (ICICA 2013), 3p. |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/81291 ) |