期刊文献+

三维量化颜色直方图在彩色图像检索中的应用 被引量:17

APPLICATION OF THREE-DIMENSIONAL QUANTISED COLOUR HISTOGRAM IN COLOUR IMAGE RETRIEVAL
在线阅读 下载PDF
导出
摘要 针对目前基于内容的彩色图像检索方法中存在的对色彩轻微变化较敏感、运算量大、检索效果不理想等问题,提出一种新的彩色图像检索方法。首先,将HSV分量非均匀量化;然后,为了消除量化误差,将相邻量化区间对应的直方图值求和,从而构造出一种三维量化颜色直方图;针对该直方图,提出对应的三维直方图相交匹配方法来实现图像的匹配。实验结果表明该方法对彩色图像的检索效果好、运算量小、对于颜色变化鲁棒性强,可用于彩色图像的检索。 To solve the problems of sensitive to slight colour change,complex in computation and poor retrieving effect that exist in current content-based colour image retrieval,a new retrieval method for colour image is proposed.First,the components of HSV are conducted the non-uniform quantisation.Then,for eliminating the quantisation error,the corresponding values of histogram in adjacent quantisation intervals are added up to form a three-dimensional colour histogram.For this histogram,a corresponding three-dimensional histogram intersection matching method is proposed to implement image matching.Experiments show that the new method is effective to colour image retrieval.It is also less complex in computation and robust to little colour change,can be used in colour image retrieval.
出处 《计算机应用与软件》 CSCD 北大核心 2012年第9期31-32,40,共3页 Computer Applications and Software
基金 国家自然科学基金项目(30970780)
关键词 三维量化颜色直方图 三维直方图相交 彩色图像检索 图像检索 Three-dimensional quantised colour histogram ,Three-dimensional histogram intersection, Colour image retrieval Image retrieval
  • 相关文献

参考文献7

二级参考文献45

  • 1姚宏宇,李弼程.基于广义图像灰度共生矩阵的图像检索方法[J].计算机工程与应用,2004,40(34):98-100. 被引量:19
  • 2窦建军,文俊,刘重庆.基于颜色直方图的图像检索技术[J].红外与激光工程,2005,34(1):84-88. 被引量:40
  • 3M J Swain, D H Ballard. Color Indexing[ J]. IJCV, 1991,7 (1) 11 -32.
  • 4J R Smith, S F Chang. Vissual SEEK. A fully automated content -based image query system[ C]. Proceedings of the ACM International Multimedia Conference & Exhibition, 1996. 87 -98.
  • 5Y J Zhang, Z W Liu and Y He. Comparison and Improvement of Color - based Image Retrieval Techniques [ C ]. In : Proceedings of the SPIE : Storage and Retrieval for Image and Video Databases VI, 1998,3312:371 - 382.
  • 6Zhang Dengshang, Lu Guojun. Review of Shape Representation and Description Techniques. Pattern Recognition, 2004, 37 ( 1 ) : 1 - 19.
  • 7Datta R, Toshi D, Li Jia. Image Retrieval: Ideas, Influences, and Trends of the New Age. ACM Computing Surveys, 2008, 40(2) : 1 -60.
  • 8Chang C C, Hwang S M, Buehrer D J. A Shape Recognition Scheme Based on Relative Distances of Feature Points from the Centroid. Pattern Recognition, 1991, 24( 11 ) : 1053 - 1063.
  • 9Ozugur T, Denizhan Y, Panayirci E. Feature Extraction in Shape Recognition Using Segmentation of the Boundary Curve. Pattern Recognition Letters, 1997, 18(10): 1049-1056.
  • 10Tan K L, Ooi B C, Thiang L F. Retrieving Similar Shapes Effectively and Efficiently. Multimedia Tools and Applications, 2003, 19 (2): 111-134.

共引文献13

同被引文献173

引证文献17

二级引证文献73

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部