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一种用于CBIR系统的主色提取及表示方法
引用本文:徐旭,朱淼良,梁倩卉,Waheed Sajjad.一种用于CBIR系统的主色提取及表示方法[J].计算机辅助设计与图形学学报,1999,11(5):385-388.
作者姓名:徐旭  朱淼良  梁倩卉  Waheed Sajjad
作者单位:浙江大学人工智能研究所,杭州,310027;浙江大学CAD & CG国家重点实验室,杭州,310027
摘    要:颜色是彩色图像最重要的视觉特征之一,在基于内容的图像检索(CBIR)系统中,都将颜色信息作为重要内容参与匹配和检索。针对图像中起主要视觉作用的是图像的主色这一问题,提出一种基于聚类分析的提取和表示图像主色的方法,给出一种用于聚类算法的停止准则,和等量量化方法相比,用本方法提取的颜色信息,具有特征维数低、颜色表示准的优点。

关 键 词:颜色特征提取和表示  基于内容的图像检索(CBIR)系统  颜色聚类  主色提取
修稿时间:1998-05-21

A METHOD OF DOMINANT COLORS EXTRACTION AND REPRESENTATION FOR CBIR SYSTEMS
XU Xu,ZHU Miao-Liang,LIANG Qian-Hui,Waheed Sajjad.A METHOD OF DOMINANT COLORS EXTRACTION AND REPRESENTATION FOR CBIR SYSTEMS[J].Journal of Computer-Aided Design & Computer Graphics,1999,11(5):385-388.
Authors:XU Xu  ZHU Miao-Liang  LIANG Qian-Hui  Waheed Sajjad
Abstract:Color is one of the important visual features of an image. Almost all present CBIR systems use color as an essential content for matching and retrieving. Dominant colors play an important role in human vision to match images. A method to extract and represent color information of an image based on color clustering algorithm is proposed. A proper stop criterion for clustering algorithm is also presented. The features of low dimension and high precision are obtained using this method over extracting color by equal quantization in a certain color space.
Keywords:color feature extraction and representation  Content Based Image Retrieval (CBIR) system    color clustering  dominant colors extraction  
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