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    ASIA unversity > 資訊學院 > 資訊傳播學系 > 期刊論文 >  Item 310904400/19044

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/19044

    Title: Regular-texture image retrieval based on texture-primitive extraction
    Authors: 王玲玲;Wang, Ling-Ling
    Contributors: 資訊傳播學系
    Keywords: Regular-texture image retrieval;Texture primitive;Displacement vector;Co-occurrence matrix
    Date: 1999-01
    Issue Date: 2012-11-26 15:16:18 (UTC+8)
    Abstract: In this study, we propose a new regular-texture image retrieval approach by which users can retrieve regular-texture images from a database which are most similar to a sample query. In this approach, texture primitives and their displacement vectors are extracted from the query and each regular-texture image in the database. These components describe periodic properties of a regular-texture image. Five features are computed from co-occurrence matrices (CMs) of the texture primitive to characterize statistical properties of the corresponding image. Each regular-texture image in the database is then represented as the five CM-features, which are insensitive to translation and rotation of the regular-texture image. Hence, query comparison or matching can be done using the corresponding CM-features. Experimental results show that the proposed approach is indeed effective. The time required to process a query is moderate.
    Appears in Collections:[資訊傳播學系] 期刊論文

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