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    ASIA unversity > 資訊學院 > 資訊傳播學系 > 期刊論文 >  Item 310904400/19047


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/19047


    Title: Color texture segmentation for clothing based on finite prolate spheroidal sequences
    Authors: 王玲玲;Wang, Ling-Ling
    Contributors: 資訊傳播學系
    Date: 2007-01
    Issue Date: 2012-11-26 15:16:21 (UTC+8)
    Abstract: By means of a computer-aided fashion design system, a fashion designer can easily make changes to the various colors, textures and pattern prints of clothing design, and thus need not draw on paper a great number of drafts. One of the most difficult tasks in a computer-aided fashion design system is to separate the clothing of interest on a model from the background, so that changes can be applied to the material. There exist folds, shadows, diverse extures, etc. on the clothing which make the segmentation work difficult. In this paper, a color texture segmentation method for clothing segmentation is proposed.
    Color quantization is first performed to reduce the number of colors and shadow/highlight effects on the image. The color texture features are then extracted based on the finite prolate spheroidal sequences.
    By these features, a hierarchical coarse-to-fine segmentation method is used to separate the clothing from the backgrounds. Finally, post-processing is applied to obtain a smooth clothing boundary.
    Satisfactory experimental results have been achieved using the proposed approach.
    Relation: Asian Journal of Health and Information Sciences
    Appears in Collections:[資訊傳播學系] 期刊論文

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