| 用聚类算法提取基于彩色特征的语义物体 |
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| 引用本文： | 余卫宇,潘晓舟,谢胜利,余英林.用聚类算法提取基于彩色特征的语义物体[J].计算机工程与应用,2006,42(2):37-38,51. |
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| 作者姓名： | 余卫宇 潘晓舟 谢胜利 余英林 |
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| 作者单位： | 华南理工大学电信学院,广州,510640 |
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| 摘 要： | 该文提出一种用聚类算法提取基于彩色特征的语义物体的方法。首先把RGB空间转化为L*a*b*空间,然后用最近邻算法进行聚类,把图象中象素依次聚类到各个颜色区域中,最后,根据彩色信息提取出语义物体,实验表明该方法具有实用性,并且对图象语义信息的研究有很大的帮助。
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| 关 键 词： | 语义信息 颜色空间 彩色分类 颜色聚类 物体提取 |
| 文章编号： | 1002-8331-（2006）02-0037-02 |
Extracting Semantic Object Based on Color Feature Using Clustering Algorithm |
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| Yu Weiyu,Pan Xiaozhou,Xie Shengli,Yu Yinglin.Extracting Semantic Object Based on Color Feature Using Clustering Algorithm[J].Computer Engineering and Applications,2006,42(2):37-38,51. |
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| Authors: | Yu Weiyu Pan Xiaozhou Xie Shengli Yu Yinglin |
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| Affiliation: | School of Electronic and Information Engineering,South China Univ. of Tech.,Guangzhou 510640 |
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| Abstract: | In this paper we present an approach to extract semantic object based on color feature using clustering analysis.Firstly,we translate RGB space into space.Secondly,we use the nearest neighbor rule algorithm to solve clustering problem.At the end,we extract semantic object in terms of color information.Experimental results show that the color clustering gives superior results in increases in cluster compactness. |
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| Keywords: | semantic information color space color classlfication color clustering object extract |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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