1. Magnetic Resonance Image Segmentation Based on Affinity Propagation
- Author
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Chunlian Li, Di Liu, Ying Lin, Lili Dou, and Yu Sun
- Subjects
Pixel ,Computer science ,business.industry ,Segmentation-based object categorization ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Scale-space segmentation ,Image segmentation ,Computer Science::Computer Vision and Pattern Recognition ,Entropy (information theory) ,Affinity propagation ,Computer vision ,Segmentation ,Artificial intelligence ,Cluster analysis ,business - Abstract
Accurate segmentation of magnetic resonance images(MRI) corrupted by intensity in homogeneity is a challenging problem and has received an enormous amount of attention lately. On the basis of the local image model, we propose a different segmentation method for MR brain images without estimation and correction for intensity heterogeneity. Firstly, we obtain clustering context which size is optimized by a minimum entropy criterion. Then, Each context is segmented by Affinity Propagation(AP) algorithm. The proposed methodology has been evaluated for simulated images and shown the better results.
- Published
- 2009
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