Method for searching similar images using quality index measurement

Authors:
Chin-Chen Chang;Tzu-Chuen Lu
Affiliations:
Feng Chia University, Taichung, Taiwan, R.O.C.;National Chung Cheng University, Chiayi, Taiwan, R.O.C.
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Year:
2005

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Abstract

Searching for similar images is an important research topic for multimedia database management. This paper uses a quality index model to search for similar images from digital image databases. In order to speed up retrieval, the quality index model is partitioned into three factors: loss of correlation, luminance distortion, and contrast distortion. The method is performed on three different image databases to test for retrieval accuracy and category retrieval ability. The experimental results show that the proposed method performs better than the color histogram method, the color moment method, and the CDESSO method.