關鍵字查詢 | 類別:會議論文 | | 關鍵字:A mathematical morphological method to thin edge detection in dark region

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序號 學年期 教師動態
1 93/1 資工系 顏淑惠 教授 會議論文 發佈 A mathematical morphological method to thin edge detection in dark region , [93-1] :A mathematical morphological method to thin edge detection in dark region會議論文A mathematical morphological method to thin edge detection in dark regionHsiao, Ying-tung; Chuang, Cheng-long.; Yen, Shwu-huey; 林慧珍; Lin, Hwei-jen淡江大學資訊工程學系Institute of Electrical and Electronics Engineers (IEEE)Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on, pp.310-313The 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 mor
2 93/1 資工系 林慧珍 教授 會議論文 發佈 A mathematical morphological method to thin edge detection in dark region , [93-1] :A mathematical morphological method to thin edge detection in dark region會議論文A mathematical morphological method to thin edge detection in dark regionHsiao, Ying-tung; Chuang, Cheng-long.; Yen, Shwu-huey; 林慧珍; Lin, Hwei-jen淡江大學資訊工程學系Institute of Electrical and Electronics Engineers (IEEE)Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on, pp.310-313The 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 mor
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