Journal of KIISE:Computer Systems and Theory (한국정보과학회논문지:시스템및이론)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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Content-based Image Retrieval using Color Correlogram from a Segmented Image

분할된 영상에서의 칼라 코렐로그램을 이용한 내용기반 영상검색

  • 안명석 (한국행양대학교 컴퓨터공학과) ;
  • 조석제 (한국해양대학교 기계.정보공학부 제어계측공학과)
  • Published : 2001.10.01
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Abstract

Recently, there has been studied on feature extraction method for efficient content-based image retrieval. Especially, many researchers have been studying on extracting from color information, because of its advantages. This paper proposes a feature and its extraction method based on color information in an image. The proposed method is computed from the image segmented into two parts: the complex part and the plan part. Our experiments show that the performance of the proposed method is better as compared with the original color correlogram method.

최근 효과적인 내용기반 영상검색을 위한 특징 추출 방법이 많이 연구되고 있다. 특히, 칼라정보를 이용하여 특징을 얻는 방법은 여러 가지 장점 때문에 연구가 활발히 진행되고 있다. 본 논문에서는 칼라정보를 이용해서 얻을 수 있는 칼라코렐로 그램을 이용한 영상검색 성능을 향상시키기 위해, 칼라 코렐로그램 기반의 새로운 특정 추출 방법을 제안한다. 제안한 방법은 영상을 복잡한 부분과 그렇지 않은 부분으로 분할학고, 각각의 칼라 코렐로그램을 얻는 방법 . 제안한 방법은 기존의 칼라 코렐로그램을 이용한 영상검색보다 우수한 성능을 나타냄을 실험을 통하여 확인하였다. 확인하였다.

Keywords

References

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