The Journal of the Korea Contents Association (한국콘텐츠학회논문지)

The Korea Contents Association (한국콘텐츠학회)
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Content-Based Image Retrieval Using Visual Features and Fuzzy Integral

시각 특징과 퍼지 적분을 이용한 내용기반 영상 검색

  • 송영준 (충북대학교 전기전자컴퓨터공학부) ;
  • 김남 (충북대학교 전기전자컴퓨터공학부) ;
  • 김미혜 (충북대학교 전기전자컴퓨터공학부) ;
  • 김동우 (충북대학교 전기전자컴퓨터공학부)
  • Published : 2006.05.01

Abstract

This paper proposes visual-feature extraction for each band in wavelet domain with both spatial frequency features and multi resolution features, and the combination of visual features using fuzzy integral. In addition, it uses color feature expression method taking advantage of the frequency of the same color after color quantization for reducing quantization error, a disadvantage of the existing color histogram intersection method. Also, it is found that the final similarity can be represented in a linear combination of the respective factors(Homogram, color, energy) when each factor is independent one another. With respect to the combination patterns the fuzzy measurement is defined and the fuzzy integral is taken. Experiments are peformed on a database containing 1,000 color images. The proposed method gives better performance than the conventional method in both objective and subjective performance evaluation.

Keywords

CBIR;Fuzzy Integral;Feature Extraction;Visual Features

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