Content-based Image Retrieval Using Object Region With Main Color

주 색상에 의한 객체 영역을 이용한 내용기반 영상 검색

  • 김동우 (충북대학교 영상통신연구실) ;
  • 장언동 (충북대학교 영상통신연구실) ;
  • 곽내정 (충북대학교 영상통신연구실) ;
  • 송영준 (충북대학교 전기전자컴퓨터공학부)
  • Published : 2006.02.01


This study has proposed a method of content-based image retrieval using object region in order to overcome disadvantages of existing color histogram methods. The existing color histogram methods have a weak point of reducing accuracy, because these have both a quantization error and an absence of spatial information. In order to overcome this problem, we convert a color information to a HSV space, quantize hue factor being pure color information, and calculate histogram. And then we use hue for retrieval feature that is robust in brightness, movement, and rotation. To solve the problem of the absence of spatial information, we select object region in terms of color feature and region correlation. And we use both the edge and the DC in the selected region for retrieving. As a result of experiment with 1,000 natural color images, the proposed method shows better precision and recall than the existing methods.


CBIR;Feature Extraction;Color Histogram