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A Centroid-based Image Retrieval Scheme Using Centroid Situation Vector  

방상배 (계명대학교 컴퓨터공학과)
남재열 (계명대학교 컴퓨터공학과)
최재각 (동의대학교 컴퓨터공학과)
Publication Information
Journal of Broadcast Engineering / v.7, no.2, 2002 , pp. 126-135 More about this Journal
Abstract
An image contains various features such as color, shape, texture and location information. When only one of those features is used to retrieve an image, it is difficult to acquire satisfactory retrieval efficiency. Especially, in the database with huge capacity, such phenomenon happens frequently. Therefore, by using moi·e features, efficiency of the contents-based image retrieval (CBIR) system can be improved. This paper proposes a technique to consider location information about specific color as well as color information in image using centroid situation vector. Centroid situation vectors are calculated for specific color of the query image. Then, location similarity is determined through comparing distances between extracted centroid situation vectors of query image and target image in the database. Simulation results show that the proposed method is robust in zoom-in or zoom-out processed images and improves discrimination ability in fliped or rotated images. In addition, the suggested method reduced computational complexity by overlapping information extraction, and that improved the retrieval speed using an efficient index file.
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