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    政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 >  Item 140.119/69116


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    題名: Similarity retrieval of iconic image database
    作者: 沈錳坤
    Lee,Suh-Yin;Shan,Man-Kwan;Yang,Wei-Pang
    貢獻者: 資科系
    關鍵詞: Image database;Spatial relationship;Similarity retrieval;2D string;Longest common subsequence;Maximal complete subgraph
    日期: 1989
    上傳時間: 2014-08-21 12:04:52 (UTC+8)
    摘要: The perception of spatial relationships among objects in a picture is one of the important selection criteria to discriminate and retrieve the images in an iconic image database system. The data structure called 2D string, proposed by Chang et al., is adopted to represent symbolic pictures. The 2D string preserves the objects` spatial knowledge embedded in images. Since spatial relationship is a fuzzy concept, the capability of similarity retrieval for the retrieval by subpicture is essential. In this paper, similarity measure based on 2D string longest common subsequence is defined. The algorithm for similarity retrieval is also proposed. Similarity retrieval provides the iconic image database with the distinguishing function different from a conventional database.
    關聯: Pattern Recognition,22(6),675-682
    資料類型: article
    DOI 連結: http://dx.doi.org/10.1016/0031-3203(89)90004-6
    DOI: 10.1016/0031-3203(89)90004-6
    顯示於類別:[資訊科學系] 期刊論文

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