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http://dx.doi.org/10.7232/JKIIE.2014.40.4.382

Study of the New Distance for Image Retrieval  

Lee, Sung Im (Dept. of Applied Statistics, Dankook University)
Lim, Jo Han (Dept. of Statistics, Seoul National University)
Cho, Young Min (Dept. of Applied Statistics, Dankook University)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.40, no.4, 2014 , pp. 382-387 More about this Journal
Abstract
Image retrieval is a procedure to find images based on the resemblance between query image and all images. In retrieving images, the crucial step that arises is how to define the similarity between images. In this paper, we propose a new similarity measure which is based on distribution of color. We apply the new measure to retrieving two different types of images, wallpaper images and the logo of automobiles, and compare its performance to other existing similarity measures.
Keywords
Image Classification; Image Retrieval; Similarity Measure; Kolmogorv-Smirnov Test;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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