원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
Vol.9 No.8
2016.08
pp.201-208
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Image segmentation based partial differential equation is very popular in image analysis and computer vision. This article presents a geometric active contour model based on local entropy for segmentation. In the proposed method, energy functional item of this model contains local energy and global energy items, and uses local entropy of each point on the contour line to determine the proportion of each kind of energy. The combined method allows the contour for the rapid evolution and convergence to the final edge after iterations. Experiment results on both synthetic and real images demonstrate the efficiency and accuracy of this model.
목차
Abstract
1. Introduction
2. Background
2.1. The C–V Model
2.2. The LBF Model
3. The Proposed Model
3.1. Local Entropy Parameter
3.2. Energy Functional
4. Implementation
5. Experimental Results
6. Conclusion .
References
1. Introduction
2. Background
2.1. The C–V Model
2.2. The LBF Model
3. The Proposed Model
3.1. Local Entropy Parameter
3.2. Energy Functional
4. Implementation
5. Experimental Results
6. Conclusion .
References
저자정보
참고문헌
자료제공 : 네이버학술정보