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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/76274


    Title: A New Validity Measure and Fuzzy Clustering algorithm for Vanishing-point Detection
    Authors: Zhao, Yu-xiang;Tai, Hsien-pang;Fan, Syue-jyun;Chou, Chien-hsing
    Contributors: 淡江大學電機工程學系
    Keywords: fuzzy clustering;clustering validity;vanishing point;image segmentation;depth map
    Date: 2012-03-24
    Issue Date: 2012-05-05 17:55:17 (UTC+8)
    Publisher: The Institute of Engineering and Technology(IET)
    Abstract: 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.
    Relation: 2012 International Conference on Automatic Control and Artificial Intelligence, pp.1682-1685, Xiamen, China
    Appears in Collections:[電機工程學系暨研究所] 會議論文

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