期刊論文
| 學年 | 96 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2008-04-01 |
| 作品名稱 | Edge Detection Improvement by Ant Colony Optimization |
| 作品名稱（其他語言） | |
| 著者 | 陳建彰; 盧德賢 |
| 單位 | 淡江大學資訊工程學系 |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Pattern Recognition Letters 29(4), pp.416-425 |
| 摘要 | Edge detection is a technique for marking sharp intensity changes, and is important in further analyzing image content. However, traditional edge detection approaches always result in broken pieces, possibly the loss of some important edges. This study presents an ant colony optimization based mechanism to compensate broken edges. The proposed procedure adopts four moving policies to reduce the computation load. Remainders of pheromone as compensable edges are then acquired after finite iterations. Experimental results indicate that the proposed edge detection improvement approach is efficient on compensating broken edges and more efficient than the traditional ACO approach in computation reduction. |
| 關鍵字 | Edge detection;Ant colony optimization (ACO);Pheromone trail |
| 語言 | en |
| ISSN | |
| 期刊性質 | 國內 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | TWN |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/59897 ) |