Study on the application of MRF and the D-S theory to image segmentation of the human brain and quantitative analysis of the brain tissue

Yihong Guan; Yatao Luo

doi:10.1117/12.918568

15 November 2011 Study on the application of MRF and the D-S theory to image segmentation of the human brain and quantitative analysis of the brain tissue

Yihong Guan, Yatao Luo

Author Affiliations +

Proceedings Volume 8335, 2012 International Workshop on Image Processing and Optical Engineering; 833503 (2011) https://doi.org/10.1117/12.918568
Event: 2012 International Workshop on Image Processing and Optical Engineering, 2012, Harbin, China

Abstract

The features of the spatial information of Markov random field image was used in image segmentation. It can effectively remove the noise, and get a more accurate segmentation results. Based on the fuzziness and clustering of pixel grayscale information, we find clustering center of the medical image different organizations and background through Fuzzy cmeans clustering method. Then we find each threshold point of multi-threshold segmentation through two dimensional histogram method, and segment it. The features of fusing multivariate information based on the Dempster-Shafer evidence theory, getting image fusion and segmentation. This paper will adopt the above three theories to propose a new human brain image segmentation method. Experimental result shows that the segmentation result is more in line with human vision, and is of vital significance to accurate analysis and application of tissues.

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Yihong Guan and Yatao Luo "Study on the application of MRF and the D-S theory to image segmentation of the human brain and quantitative analysis of the brain tissue", Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 833503 (15 November 2011); https://doi.org/10.1117/12.918568

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