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    题名: A mathematical morphological method to thin edge detection in dark region
    作者: Hsiao, Ying-tung;Chuang, Cheng-long.;Yen, Shwu-huey;林慧珍;Lin, Hwei-jen
    贡献者: 淡江大學資訊工程學系
    日期: 2004-12-18
    上传时间: 2010-04-15 10:19:06 (UTC+8)
    出版者: Institute of Electrical and Electronics Engineers (IEEE)
    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.
    關聯: Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on, pp.310-313
    DOI: 10.1109/ISSPIT.2004.1433746
    显示于类别:[資訊工程學系暨研究所] 會議論文


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