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Histogram Matching Algorithm for Content-Based Dnage Retrieval  

You, Kang-Soo (전주대학교 교양학부)
Yoo, Gi-Hyoung (전북대학교 컴퓨터공학과)
Kwak, Hoon-Sung (전북대학교 컴퓨터공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.33, no.1C, 2008 , pp. 45-52 More about this Journal
Abstract
In this paper, we describe the Perceptually Weighted Histogram(PWH) and the Gaussian Weighted Histogram Intersection(GWHI) algorithms. These algorithms are able to provide positive results in image retrieval. But these histogram methods alter the histogram of an image by using particular lighting conditions. Even two pictures with little differences in lighting are not easily matched. Therefore, we propose that the Histogram Matching Algorithm(HMA) is able to overcome the problem of an image being changed by the intensity or color in the image retrieval. The proposed algorithm is insensitive to changes in the lighting. From the experiment results, the proposed algorithm can achieve up to 32% and up to 30% more recall than the PWH and GWHI algorithms, respectively. Also, it can achieve up to 38% and up to 34% more precision than PWH and GWHI, respectively Therefore, with our experiments, we are able to show that the proposed algorithm shows limited variation to changes in lighting.
Keywords
Image retrieval; PWH; GWHI; HMA;
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Times Cited By KSCI : 1  (Citation Analysis)
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