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基于颜色和形状特征的图像检索方法
引用本文:周雪梅,郭启强.基于颜色和形状特征的图像检索方法[J].计算机与数字工程,2009,37(5):130-132.
作者姓名:周雪梅  郭启强
作者单位:河南理工大学计算机科学与技术学院,焦作,454000
基金项目:河南省教育自然科学基础研究基金 
摘    要:提出了一种基于颜色和形状特征的图像检索方法。在对HSV颜色模型量化的基础上,提取颜色直方图作为图像的颜色特征。在提取形状特征时,结合颜色量化结果,利用图像分割提取图像的形状特征,利用两特征的加权距离计算图像之间的相似度,而后进行图像检索。实验结果表明,该方法取得了较好的检索效果。

关 键 词:图像检索  颜色直方图  颜色特征  形状特征  图像分割

Image Retrieval Based on Color and Shape Features
Zhou Xuemei,Guo Oiqiang.Image Retrieval Based on Color and Shape Features[J].Computer and Digital Engineering,2009,37(5):130-132.
Authors:Zhou Xuemei  Guo Oiqiang
Affiliation:School of Computer Science and Technology;Henan University of Technology;Jiaozuo 454000
Abstract:A novel image retrieval method based on color and shape feature is proposed in the paper.Based on the quantization of the color in HSV model,color histogram is introduced as the color feature.Then,shape features are abstracted by image division.the weighting distance is used to compute the similarity.Finally,the color histogram and shape feature are combined together as an index for image retrieval.Experimental results show that the new method is efficient and it provides noticeable improvement to the perfo...
Keywords:image retrieval  color histogram  color feature  shape feature  image division  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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