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

Publication Type

Conference Proceeding Article

Publication Date

12-2006

Abstract

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. © 2006 IEEE.

Keywords

Data compression, Fuzzy neural nets, Image coding, Image fusion, Packet radio networks, Telecommunication computing, Telecommunication congestion control, Wavelet transforms

Discipline

Numerical Analysis and Scientific Computing

Publication

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

First Page

631

Last Page

636

ISBN

9781424403424

Identifier

10.1109/ICARCV.2006.345358

Publisher

IEEE

City or Country

New York, USA

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