Dominant color image retrieval using merged histogram

A merged histogram method (MHM) is proposed for histogram-based image retrieval based on dominant colors in images. In MHM, colors from images and between images are merged to form their dominant color set, instead of color components. Images of similar color can thus be selected and ranked. Experimental results show that MHM can achieve up to 32% and up to 22% more precise than RGB-based histogram and perceptually weighted histogram methods, respectively.

[1]  Shih-Fu Chang,et al.  Image Retrieval: Current Techniques, Promising Directions, and Open Issues , 1999, J. Vis. Commun. Image Represent..

[2]  Markus A. Stricker,et al.  Similarity of color images , 1995, Electronic Imaging.

[3]  James Ze Wang,et al.  SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture LIbraries , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Michael J. Swain,et al.  Color indexing , 1991, International Journal of Computer Vision.

[5]  Dragutin Petkovic,et al.  Query by Image and Video Content: The QBIC System , 1995, Computer.

[6]  Guojun Lu,et al.  Using perceptually weighted histograms for colour-based image retrieval , 1998, ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344).

[7]  Michael T. Orchard,et al.  Color quantization of images , 1991, IEEE Trans. Signal Process..

[8]  Myron Flickner,et al.  Query by Image and Video Content , 1995 .

[9]  Thierry Pun,et al.  Performance evaluation in content-based image retrieval: overview and proposals , 2001, Pattern Recognit. Lett..