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Proceedings Paper

Comparison and improvement of color-based image retrieval techniques
Author(s): Yujin Zhang; Zhong Wei Liu; Yun He
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Paper Abstract

With the increasing popularity of image manipulation with contents, many color-based image retrieval techniques have been proposed in the literature. A systematic and comparative study of 8 representative techniques is first presented in this paper, which uses a database of 200 images of flags and trademarks. These techniques are determined to cover the variations of the color models used, of the characteristic color features employed and of the distance measures calculated for judging the similarity of color images. The results of this comparative study are presented both by the list of retrieved images for subjective visual inspection and by the retrieving ratios computed for objective judgement. All of them show that the cumulative histogram based techniques using Euclidean distance measures in two perception related color spaces give best results among the 8 techniques under consideration. Started from the best performed techniques, works toward further improving their retrieving capability are then carried on and this has resulted 2 new techniques which use local cumulative histograms. The new techniques have been tested by using a database of 400 images of real flowers which are quite complicated in color contents. Some satisfactory results, compared to that obtained by using existing cumulative histogram based techniques are obtained and presented.

Paper Details

Date Published: 23 December 1997
PDF: 12 pages
Proc. SPIE 3312, Storage and Retrieval for Image and Video Databases VI, (23 December 1997); doi: 10.1117/12.298446
Show Author Affiliations
Yujin Zhang, Tsinghua Univ. (China)
Zhong Wei Liu, Tsinghua Univ. (China)
Yun He, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 3312:
Storage and Retrieval for Image and Video Databases VI
Ishwar K. Sethi; Ramesh C. Jain, Editor(s)

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