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A Set-based Hybrid Approach (SHA) for MRI Segmentation

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6 Author(s)
Jiang Liu ; Dept. of Comput. Sci., Nat. Univ. of Singapore ; Tze-Yun Leong ; Kin Ban Chee ; Boon Pin Tan
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This paper describes a new hybrid approach set-based hybrid approach (SHA) for magnetic resonance (MR) image segmentation by integrating two existing techniques, region-grow and threshold level set. To evaluate the proposed approach in performing real world image segmentation task, instead of using well-taken MR-images, we use real-life images collected in a hospital. Comparison of the performance between the two individual techniques and the new hybrid technique demonstrates the effectiveness of the latter

Published in:

Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on

Date of Conference:

5-8 Dec. 2006

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