- A Self-selection of Adaptive Feature using DCT
- A Self-selection of Adaptive Feature using DCT
- ㆍ 저자명
- Lim. Seung-in
- ㆍ 간행물명
- 한국OA학회논문지
- ㆍ 권/호정보
- 2000년|5권 3호|pp.215-219 (5 pages)
- ㆍ 발행정보
- 한국컴퓨터정보학회
- ㆍ 파일정보
- 정기간행물|ENG| PDF텍스트
- ㆍ 주제분야
- 기타
The purpose of this paper is to propose a method to maximize the efficiency of a content-based image retrieval for various kinds of images. This paper discuss the self-adaptivity for the change of image domain and the self-selection of optimal features for query image, and present the efficient method to maximize content-based retrieval for various kinds of images. In this method, a content-based retrieval system is adopted to select automatically distinctive feature patterns which have a maximum efficiency of image retrieval in various kinds of images. Experimental results show that the Proposed method is improved 3% than the method using individual features.