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A Novel Approach for Contents-Based E-catalogue Image Retrieval Based on a Differential Color Edge Model

  • Junchul Chun
  • Goorack Park
  • Changho An
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3043)

Abstract

In this paper, we propose a new color edge model and color edge histogram descriptor for contents-based image retrieval. The edge descriptor proposed by MPEG-7 standard is a representative approach for the contents-based image retrieval using the edge histogram that is derived from a gray-level image. This paper introduces a novel method that extracts color edge information from spectral color images rather than monochrome images and a new color edge histogram descriptor for the contents-based image retrieval. The proposed color edge model is obtained in two phases. In the first phase, we characterize the R,G,B channel components as a linear map (the differential) and impose a statistical interpretation on this map by considering the behavior of the map as it applied to unit normed vectors in the second phase. As a result, the constructed edge model will be expressed in a statistical fashion and will provide a mechanism to determine the possibility of the edge existence. The color edge histogram based on the direction of the color edge model is subsequently applied to the contents-based e-catalogue image retrieval. For the evaluation, the results of image retrieval using the proposed method are compared with those of image retrieval using the edge descriptor by MPEG-7 and other approaches. The experimental result supports the efficiency of the proposed method.

Keywords

Color Image Image Retrieval Query Image Color Histogram Color Edge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Junchul Chun
    • 1
  • Goorack Park
    • 2
  • Changho An
    • 3
  1. 1.Department of Computer ScienceKyonggi UniversityYui-Dong SuwonKorea
  2. 2.Department of Computer ScienceKongju National UniversityKongjuKorea
  3. 3.College of Information IndustryDongguk University 

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