文化大學機構典藏 CCUR:Item 987654321/3347
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    Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/3347


    Title: 植基於VQ編碼指標與色彩質心空間特徵之影像檢索系統
    Authors: 陳俊榮
    孫振東
    吳怡憬
    Contributors: 資科系
    Keywords: 影像檢索
    向量量化
    植基於色彩的影像檢索
    色彩長方圖
    色彩質心
    image retrieval
    VQ
    color-based image retrieval
    color histogram
    color mass center
    Date: 2004-06
    Issue Date: 2010-06-01 10:21:24 (UTC+8)
    Abstract: 影像資訊檢索在許多應用上扮演著重要角色,諸如衛星影像資料庫、地理資訊系統、診斷醫學影像資料庫、及商業商標資料庫,因此,發展-可靠而有效率的影像檢索系統是非常重要。本論文提出一個基於影像向量量化(VQ)指標與色彩質心空間位置的影像檢索系統,VQ是將原影像色彩長方圖再量化成低解析度,資料庫內影像根據VQ編碼指標分成多個群組,本系統利用四個色彩質心的相對位置來描述一個影像的色彩空間分布特徵,一個像素的質量即是它的色彩灰階,我們將一個影像分成四個象限,每個象限有一個色彩質心,利用四個色彩質心彼此之間的歐基里得距離作為搜尋影像的索引,實驗結果顯示此方法的影像辨識能力受影像的平移、翻轉、旋轉、及縮放等變化的影響不明顯。

    Image information retrieval plays a significant role in many application areas, such as satellite image databases, geographic information systems, diagnostic medical image databases, and commercial logo databases. Hence, developing an effective and efficient image retrieval system is very important. This paper proposed an image retrieval system based on the VQ (vector quantization) index and spatial locations of color-mass-center in images. VQ is used to construct a lower-resolution version of the original color histograms of images. The images in the database are divided into clusters based on VQ code index. This system describes the color-spatial feature of an image using the relative location of four color-mass-centers. The color-mass of a pixel is defined by the gray level of the pixel. We divide an image into four quadrants. Each quadrant has a color-mass-center. The Euclidean distances between each pair of four color-mass-centers are the indexing key to search the image. Experimental results show that the recognition ability is insensitive to the shift, rotation, and scale variants of images.
    Relation: 華岡工程學報 18期 P.117-122
    Appears in Collections:[College of Engineering] Chinese Culture University Hwa Kang Journal of Engineering

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