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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/21087

    Title: Hierarchical algorithms for morphological image processing
    Other Titles: 型態學影像處理之階層式演算法
    Authors: 梁恩輝;Liang, En-hui;Wong, Edward K.
    Contributors: 淡江大學資訊管理學系
    Keywords: Pyramid;Hierarchical;Morphological image processing;Multi-resolution;Dilation;Erosion
    Date: 1993-04-01
    Issue Date: 2009-11-30 13:13:25 (UTC+8)
    Publisher: Elsevier
    Abstract: One drawback of the morphological image processing technique is its long computation time when run on a general purpose sequential computer. While prior research on improving the computation time for morphological processing has focused on using specialized hardware architecture, we propose to reduce the computation time by using a hierarchical data structure. In this paper, techniques and algorithms for performing morphological image processing based on the proposed approach are presented. Experimental results demonstrate that a substantial speed up in computation time can be obtained using the proposed method.
    Relation: Pattern Recognition 26(4), pp.511-529
    DOI: 10.1016/0031-3203(93)90107-8
    Appears in Collections:[Graduate Institute & Department of Information Management] Journal Article

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