상세정보
학술대회
A Sectorized Object Matching Approach for Breast Magnetic Resonance Image Similarity Study
- 저자
- Byung K. Jung, Wei Wang, Zhe Li, 손성호, Jung Yeop Kim
- 발행일
- 201210
- 출처
- Research in Applied Computation Symposium (RACS) 2012, pp.172-175
- 협약과제
- 12PR3800, 전자파 이용 조기진단 고정밀 MT 시스템 개발, 전순익
- 초록
- In this paper, we propose a new image retrieval method consisting of shape feature data. In this approach we assume the images are classified into single objects through other known classification methods such as K-means and SVM algorithms. From collected binary object images, we develop a new algorithm that has less computation but equal efficiency as using shape feature - the curvature of the contour. We have experimented with classified binary object image from actual breast medical images used in real medical diagnosis. Actual experimental results show that the proposed algorithm achieves equal results against traditional image retrieval using curvature of the contour with higher efficiency. Copyright 2012 ACM.
- KSP 제안 키워드
- Classification method, Feature data, Higher efficiency, Image retrieval, Image similarity, Magnetic resonance(MR), Magnetic resonance images, Matching approach, Medical Image, Medical diagnosis, Object Matching