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논문검색

Micro-vessel Segmentation and Tiny Particle Speed Estimation

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

저자정보

  • Zhongming Luo The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, School of Measurement-Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin, China
  • Zhuofu Liu The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, School of Measurement-Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin, China
  • Weijie Li The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, School of Measurement-Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin, China
  • Dongyang Zhao The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, School of Measurement-Control Technology and Communication Engineering, Harbin University of Science and Technology, Harbin, China

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