원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.6 No.4
2013.08
pp.441-449
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
On the basis of the flow feature in the micro blood vessels, a method to track the trace of cell movement was proposed in this paper. The algorithm employed the space domain enhancement, adaptive threshold segmentation techniques. For the sake of calculating blood flow, the active contour-based template matching method was applied to sequential images. The experimental results show that this method can accurately track movement of tiny particles and estimate its moving speed in the micro-blood vessels.
목차
Abstract
1. Introduction
2. System Description and Image Pre-processing
3. Micro-blood Vessel Segmentation Based on Morphological Minimum Class Variance
4. Experimental results of tiny particle tracking in the micro-blood vessel images
5. Conclusion
Acknowledgements
References
1. Introduction
2. System Description and Image Pre-processing
3. Micro-blood Vessel Segmentation Based on Morphological Minimum Class Variance
4. Experimental results of tiny particle tracking in the micro-blood vessel images
5. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보