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Vol. 208, Issue 1, January 2017, pp. 39-43

 

Bullet

 

Non-rigid Point Matching using Topology Preserving Constraints
for Medical Computer Vision
 

Jong-Ha Lee

Keimyung University, School of Medicine, South Korea
Tel.: (82)-53-580-3736, fax: (82)-53-580-3746

E-mail: segeberg@kmu.ac.kr

 

Received: 22 November 2016 /Accepted: 30 December 2016 /Published: 31 January 2017

Digital Sensors and Sensor Sysstems

 

Abstract: This work presents a novel algorithm of finding correspondence using a relaxation labeling. For the variance experiments, the variance of all algorithms except the proposed algorithm is large. The largest variance of the proposed algorithm is +0.01 in the 0.08 deformation test of a character. Overall, the proposed algorithm outperforms compared to the rest of algorithms. Except the proposed algorithm, matching with neighborhood algorithm shows the best performance except an outlier to data ratio in a character test. The proposed algorithm shows the best performance as well as an outlier to data ratio in a character test.

 

Keywords: Non-rigid point matching, Image registration, Correspondence problem.

 

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