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    ASIA unversity > 資訊學院 > 資訊工程學系 > 博碩士論文 >  Item 310904400/100971

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/100971

    Title: A Study on Image Retrieval based on Texture and Color Features
    Authors: CHEN, CHIN-CHOU
    Contributors: 資訊工程學系
    Keywords: content-based image retrieval;image query;image indexing;image search
    Date: 2016
    Issue Date: 2016-08-18 09:48:58 (UTC+8)
    Publisher: 亞洲大學
    Abstract: This paper presents an effective texture image retrieval system for content-based texture image database query and retrieval. We focus on the analysis of texture and color features in the Lab color space to achieve effective texture image retrieval. Five properties of texture are computed in the “L” component in our system, i.e. coarseness, contrast, busyness, complexity and strength. These properties of texture are given conceptual definitions in terms of spatial changes in intensity. Moreover, two components of the color dimensions are also applied in our system, i.e. the “a” and “b” components. Experiment results show that our system based on texture and color features is capable of achieving more effective.
    Appears in Collections:[資訊工程學系] 博碩士論文

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