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Image Retrieval based on Color-Spatial Features using Quadtree and Texture Information Extracted from Object MBR  

최창규 (경북대학교 컴퓨터공학과)
류상률 (청운대학교 컴퓨터과학과)
김승호 (경북대학교 컴퓨터공학과)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.8, no.6, 2002 , pp. 692-704 More about this Journal
Abstract
In this paper, we present am image retrieval method based on color-spatial features using quadtree and texture information extracted from object MBRs in an image. Tile proposed method consists of creating a DC image from an original image, changing a color coordinate system, and decomposing regions using quadtree. As such, conditions are present to decompose the DC image, then the system extracts representative colors from each region. And, image segmentation is used to search for object MBRs, including object themselves, object included in the background, or certain background region, then the wavelet coefficients are calculated to provide texture information. Experiments were conducted using the proposed similarity method based on color-spatial and texture features. Our method was able to refute the amount of feature vector storage by about 53%, but was similar to the original image as regards precision and recall. Furthermore, to make up for the deficiency in using only color-spatial features, texture information was added and the results showed images that included objects from the query images.
Keywords
Quadtree; Content based Retrieval System; Color; Texture; Wavelet;
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Times Cited By KSCI : 1  (Citation Analysis)
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