A hybrid segmentation method using MRF and GVF snakes

Alexander Rukletsov; Reinhard Männer

doi:10.1117/12.946104

2 June 2012 A hybrid segmentation method using MRF and GVF snakes

Alexander Rukletsov, Reinhard Männer

Author Affiliations +

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 833414 (2012) https://doi.org/10.1117/12.946104
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

Abstract

In this paper a hybrid method for segmentation of 2-D medical images of human organs is proposed. To capture object's global properties the Markov random fields (MRFs) are involved. The result of the MRF segmentation is used to recalculate gradient vector flow based snake external forces in a further snake progression step. A MRF MAP solution is estimated using the MMD algorithm. To reduce the computation time, MRF estimation is restricted only to sites, where the state uncertainty is higher than some threshold value. Tests on MR slices and ultrasound images of the left ventricle of the human heart are reported.

Citation Download Citation

Alexander Rukletsov and Reinhard Männer "A hybrid segmentation method using MRF and GVF snakes", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 833414 (2 June 2012); https://doi.org/10.1117/12.946104

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