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Content-based image retrieval based on color and space
- Chang, H.W.;
- Kang, E.K.;
- Jahang, S.G.;
- Song, H.K.;
- Choi, J.S.
Citations
SCOPUS
0초록
In this paper, we present a content-based image retrieval method that is less sensitive to some rotations and translations of an image by using the fuzzy region segmentation. The algorithm uses the two features of color and spatial information to retrieve similar images from a database. That is to say, we use both color and average coordinates of color distribution to obtain the spatial information of each segmented region. Furthermore, we also propose the alternative to the ripple phenomenon, which is occurred in the conventional fuzzy region segmentation algorithm.
키워드
Color; Content based retrieval; Color distribution; Content based image retrieval; Fuzzy region; Segmented regions; Similar image; Spatial informations; Image segmentation
- 제목
- Content-based image retrieval based on color and space
- 저자
- Chang, H.W.; Kang, E.K.; Jahang, S.G.; Song, H.K.; Choi, J.S.
- 발행일
- 2001-08
- 유형
- Conference Paper
- 저널명
- Proceedings - IEEE International Conference on Multimedia and Expo
- 페이지
- 257 ~ 260
- 언어
- ENG
- 출판사
- IEEE Computer Society
- 발행국가
- 미국
- 분량
- 4 페이지
- ISSN
- P 1945-7871