웨이브릿 변환과 영상 분할을 이용한 영역기반 영상 검색

Region-based Image Retrieval using Wavelet Transform and Image Segmentation

  • 이상훈 (부산정보대하 정보통신계열) ;
  • 홍충선 (경희대학교 전자정보학부) ;
  • 곽윤식 (충주대학교 컴퓨터공학과) ;
  • 이대영 (경희대학교 전자정보학부)
  • 발행 : 2000.08.01

초록

본 논문에서는 영상분할을 이용한 영역기반 영상검색에 관해 논하였다 불규칙한 광원에 의한 영향을 최소화할 수 있는 분 할 방법을 제안하였다 영상분할은 영역 병합을 이용하였고 병합 후보영역은 웨이브릿 변환의 고주파 대역 에너지 값을 이용하여 선정하였다 내용기반 영상 검색은 분할된 영역정보를 이용하여 수행되며 칼라와 질감 모양 특징 벡터를 구성하여 질의를 수행하였다 영역간 유사도 검사는 특징벡터간 유클리디안 거리를 측정하여 수행하였으며 다양한 형태의 자연영상을 대상으로 한 실험을 통해 본 방법의 효율성을 검증하였다.

In this paper, we discussed the region-based image retrieval method using image segmentation. We proposed a segmentation method which can reduce the effect of a irregular light sources. The image segmentation method uses a region-merging, and candidate regions which are merged were selected by the energy values of high frequency bands in discrete wavelet transform. The content-based image retrieval is executed by using the segmented region information, and the images are retrieved by a color, texture, shape feature vector. The similarity measure between regions is processed by the Euclidean distance of the feature vectors. The simulation results shows that the proposed method is reasonable.

키워드

참고문헌

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