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融合整体与分块颜色分布的图像检索方法 被引量：4

Image retrieval method combining integer and blocks' color distribution
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摘要 针对传统的颜色直方图无法反映色彩分布的空间信息这一缺陷,提出了一种以同一颜色构成的最大连通区域及其边缘颜色粗糙度的图像检索方法,并在此基础上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,以反映人们对图像相似度的判定过程。实验表明,该方法获得了图像颜色的空间分布,并可以根据图像的颜色空间分布是否集中来调整整体相似度的权值,以提高检索性能,同时弥补了颜色直方图无法反映颜色空间分布的不足,提高了检索的准确性。 In order to overcome the defect that the conventional color histogram retrieval method is prone to lose the spatial information of colors, an image retrieval method based on the largest color-connected regions was presented, and its rim roughness to capture the regional traits and reduce the absolute dependence on color. Then the similarity of the images is defined as the combination of the similarity of an integer and the similarity of the blocks to reflect the recognition process by people. The experimental result on real-world image collections indicates that the proposed approach significantly improves image retrieval accuracy.
作者 杨珺 王继成 邢丹俊
机构地区 向济大学电子与信息工程学院
出处 《计算机应用》 CSCD 北大核心 2008年第3期653-655,658,共4页 journal of Computer Applications
关键词 基于内容的图像检索 颜色直方图 颜色连通区域 边缘粗糙度 Content-Based Image Retrieval （CBIR） color histogram color-connected regions rim roughness
分类号 TP391.3 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献14

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二级参考文献11

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共引文献4

同被引文献31

  • 1杨小冈,曹菲,缪栋,张云鹏.基于相似度比较的图像灰度匹配算法研究[J].系统工程与电子技术,2005,27(5):918-921. 被引量：31
  • 2章毓晋.图形工程(上册)--图像处理和分析[M].北京:清华大学出版社,2000.
  • 3ANDROUTSOS D, PLATANDTIS K N, VENETSANOPOU- LOS A N. Distance measures for color image retrieval[C]. Pro. of IEE Int. Conf. Image Proces, 1998(2):770-774.
  • 4MESSER K, KITTER J. A region based image database system using color and textures[J]. Patter Recognition Letters, 1999,20 : 1323-1330.
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  • 6Kwitt R,Meerwald P,Uhl A.Efficient texture image retrievalusing copulas in a Bayesian framework[J].IEEE ImageProcessing,2011,20(7):2063-2077.
  • 7Li Jianping,Fu Bo,Li Chaorong.Magnitude-phase of quaternionwavelet transform for texture representation usingmultilevel copula[J].IEEE Signal Processing Letters,2013,20(8):799-802.
  • 8Quellec G,Lamard M,Cazuguel G,et al.Fast waveletbasedimage characterization for highly adaptive imageretrieval[J].IEEE Image Processing,2012,21(4):1613-1623.
  • 9Zhang Qianni,Izquierdo E.Histology image retrieval inoptimized multi-feature spaces[J].IEEE Journal of Biomedicaland Health Informatics,2013,17(1):240-249.
  • 10党长青,姜方正,牛分中.一种基于区域综合特征的图像检索方法[J].计算机工程与应用,2008,44(4):53-55. 被引量：2

引证文献4

二级引证文献28

计算机应用
2008年 第3期

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