ASIA unversity:Item 310904400/2056
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    题名: Color Texture Segmentation for Clothing Based on Finite Prolate Spheroidal Sequences
    作者: Ling-Ling Wang;Chih Chung Chien
    贡献者: Department of Information Communication, Asia University
    关键词: finite prolate spheroidal sequencescolor quantization;texture segmentationlocal centroid clustering
    日期: 2007-01
    上传时间: 2009-10-13 14:58:12 (UTC+8)
    出版者: Asia University
    摘要: 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 textures, 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.
    關聯: Asian Journal of Health and Information Sciences 1(4):425-445
    显示于类别:[Asian Journal of Health and Information Sciences] v.1 n.4

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