Journal of the Korean Institute of Telematics and Electronics B (전자공학회논문지B)

The Institute of Electronics and Information Engineers (대한전자공학회)
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The Design an Implementation of Content-based Image Retrieval System Using Color Features

칼라 특징을 이용한 내용기반 화상검색시스템의 설계 및 구현

  • 정원일 (대전산업대학교 전자공학과) ;
  • 박정찬 (국방정보체연구소) ;
  • 최기호 (광운대학교 컴퓨터공학과(신기술연구소))
  • Published : 1996.06.01
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Abstract

A content-based image retrieval system is designed and implemetned using the color featurees which are histogram intersection and color pairs. The preprocessor for the image retrieval manage linearly the existing HSI(hue, saturation, saturation, intensity). Hue and intensity histogram thresholding for each color attribute is performed to split the chromatic and achromatic regions respectively. Grouping te indexes produced by the histogram intersection is used to save the retrieval times. Each image is divided into the cells of 32$\times$32 pixels, and color pairs are used to represent the query during retrievals. The recall/precision of histogram intersection is 0.621/0.663 and recall/precision of color pairs is 0.438/0.536. And recall/precision of proposed method is 0.765/0.775/. It is shown that the proposed method using histogram intersection and color pairs improves the retrieval rates.

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