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基于颜色特征和相关反馈的图像检索方法
引用本文:王建峰,刘晓红,刘雪香. 基于颜色特征和相关反馈的图像检索方法[J]. 山东理工大学学报:自然科学版, 2009, 23(2): 58-62
作者姓名:王建峰  刘晓红  刘雪香
作者单位:山东理工大学计算机科学与技术学院,山东淄博255049
摘    要:提出了一种改进的基于颜色特征的图像检索方法.该方法通过最大颜色连通区域及其边缘颜色粗糙度来获取区域特征,减少了对颜色的依赖.将图像间的相似度定义为整体相似度与以图像分块为基础的局部相似度的加权和,并通过反馈机制不断调整权值,提高了图像检索的精确度.

关 键 词:图像检索  颜色  连通区域  粗糙度  反馈

Image retrieval method based on color feature and relevance feedback
WANG Jian-feng,LIU Xiao-hong,LIU Xue-xiang. Image retrieval method based on color feature and relevance feedback[J]. Journal of Shandong University of Technology:Science and Technology, 2009, 23(2): 58-62
Authors:WANG Jian-feng  LIU Xiao-hong  LIU Xue-xiang
Affiliation:School of Computer Science and Technology;Shandong University of Technology;Zibo 255049;China
Abstract:This paper proposes an improved image retrieval method based on color distributes.The regional traits were captured according to the largest color-connected region and its rim roughness,which reduces the dependence on color.Then the similarity of the images is defined as the coupled similarity of both the integer and the blocks.A relevance feedback mechanism is invoked in order to improve the precision of image retrieval.
Keywords:image retrieval  color  connected regions  roughness  feedback  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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