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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95761


    Title: A Spatial Representation Model and Similarity Retrieval Method of Icon Images
    Authors: Wang, Ying-Hong;Chien, Tai-Lung
    Contributors: 淡江大學資訊工程學系
    Keywords: 影像檢索;相似度檢索;影像資料庫;空間推論;最長共同子序列演算法;二維字串;Image Retrieval;Similarity Retrieval;Image Database;Spatial Reasoning;Longest Common Subsequence Algorithm;Two Dimensional String
    Date: 2000-12
    Issue Date: 2014-02-13
    Abstract: In this paper, a new spatial knowledge representation model named"Two Dimension Begin-End Boundary String" (2D Bε-string) is proposed. The 2D Bε-string represents an icon by its MBR boundaries and a nu mber of "dummy objects". The 2D Bε-string can intuitively and natura lly represent the pictorial spatial information without any spatial operator. In addition, an image similarity evaluation method based on the modified "Longest Common Subsequence" (LCS) algorithm is presented. By the proposed evaluation method, not only those images which all of the icons and their spatial relationships fully accord with the query image can be sifted out, but also those images which partial icons and/or spatial relationships are similar to the query image can be applied to. It resolves the problems that the query targets and/or spatial relationships are not certain. Our representation model and similarity evaluation also simplify the retrieval progress of linear transformations, including rotation and reflection of an image.
    Relation: Proceedings of the 2000 ICS:Workshop on Image Processing and Pattern Recongnition,頁125-132
    Appears in Collections:[資訊工程學系暨研究所] 會議論文

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