| Paper: | FR-AM-OS2.6 | ||
| Session: | Image Segmentation and Shape Analysis | ||
| Time: | Friday, April 7, 11:30 - 11:50 | ||
| Presentation: | Oral | ||
| Title: | Segmentation of brain MRI by adaptive mean shift | ||
| Authors: | Arnaldo Mayer; Tel-Aviv University | ||
| Hayit Greenspan; Tel-Aviv University | |||
| Abstract: | Abstract. A new automatic segmentation method for MRI images of the brain is presented, based on the adaptive mean-shift algorithm. Existing parametric methods utilize the intensity information for the segmentation task. When spatial information is introduced, parametric models may fail due to the non-convex nature of the brain tissue anatomy. A natural integration of intensity and spatial features is enabled in the non-parametric mean-shift formalism. The proposed method is validated on both simulated and real datasets. | ||
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