會議論文
| 學年 | 93 |
|---|---|
| 學期 | 1 |
| 發表日期 | 2004-12-18 |
| 作品名稱 | A mathematical morphological method to thin edge detection in dark region |
| 作品名稱（其他語言） | |
| 著者 | Hsiao, Ying-tung; Chuang, Cheng-long.; Yen, Shwu-huey; 林慧珍; Lin, Hwei-jen |
| 作品所屬單位 | 淡江大學資訊工程學系 |
| 出版者 | Institute of Electrical and Electronics Engineers (IEEE) |
| 會議名稱 | Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on |
| 會議地點 | Rome, Italy |
| 摘要 | The performance of image segmentation depends on the output quality of the edge detection process. Typical edge detecting method is based on detecting pixels in an image with high gradient values, and then applies a global threshold value to extract the edge points of the image. By these methods, some detected edge points may not belong to the edge and some thin edge points in dark regions of the image are being eliminated. These eliminated edges may be with important features of the image. This paper proposes a new mathematical morphological edge-detecting algorithm based on the morphological residue transformation derived from dilation operation to detect and preserve the thin edges. Moreover, this work adopts five bipolar oriented edge masks to prune the miss detected edge points. The experimental results show that the proposed algorithm is successfully to preserve the thin edges in the dark regions. |
| 關鍵字 | |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | |
| 研討會時間 | 20041218~20041221 |
| 通訊作者 | |
| 國別 | ITA |
| 公開徵稿 | |
| 出版型式 | 紙本 |
| 出處 | Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on, pp.310-313 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/37592 ) |