A mathematical morphological method to thin edge detection in dark region
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
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