Fuzzy color quantization and its application in content-based image retrieval

Authors:
Masoud Saeed;Hossein Nezamabadi-Pour
Affiliations:
Department of Computer Engineering, Shahid Bahonar University of Kerman, Kerman, Iran;Department of Computer Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
Venue:
CISST'08 Proceedings of the 2nd WSEAS International Conference on Circuits, Systems, Signal and Telecommunications
Year:
2008

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Abstract

A fuzzy approach to color quantization and its application in content-based image indexing and retrieval is presented in this paper. There are some drawbacks associated with traditional color histogram such as color quantization. The goal in this paper is to develop an effective method to overcome several limitations, which are related to traditional color histogram. In the proposed method, fuzzy logic is used to quantize color space and apply it in color histogram construction. The objective is to eliminate error quantization effect that causes poor results due to varying lighting conditions and gamma nonlinearity effect. Experimental results on a database of 1000 images are reported.