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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/76274

    题名: A New Validity Measure and Fuzzy Clustering algorithm for Vanishing-point Detection
    作者: Zhao, Yu-xiang;Tai, Hsien-pang;Fan, Syue-jyun;Chou, Chien-hsing
    贡献者: 淡江大學電機工程學系
    关键词: fuzzy clustering;clustering validity;vanishing point;image segmentation;depth map
    日期: 2012-03-24
    上传时间: 2012-05-05 17:55:17 (UTC+8)
    出版者: The Institute of Engineering and Technology(IET)
    摘要: In combination with the fuzzy clustering algorithm, this paper proposes an image-preprocessing method. Critical edge information can thus be extracted from an image to locate vanishing lines and the vanishing point more accurately. To estimate an appropriate initial cluster number, the study also proposes a new clustering validity measure to assess the similarity of cluster areas. Experimental results show that the proposed preprocessing method and validity measure can not only accurately discover the location of the vanishing point and vanishing lines, but also further provide useful information for image segmentation.
    關聯: 2012 International Conference on Automatic Control and Artificial Intelligence, pp.1682-1685, Xiamen, China
    显示于类别:[電機工程學系暨研究所] 會議論文


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