Abstract:
Medical image widely use Active contour models (ACMs) or snake for segmentation purposes,
specifically to extract tumor boundaries in brain tumor MRI images. ACMs practical
applications are limited due to issues related with initialization and weak convergence to
boundary concavities. Here comparative study is presented to analyze three different Active
contour models (ACMs) of snakes implemented on Brain tumors MR imagery. Where the three
ACMs are named as: Gradient Vector Flow (GVF), Boundary vector field (BVF), Generalized
Boundary Vector Field (GBVF).
The assessment of results with tumor MR imagery demonstrates that GBVF method is more
perfect and robust for brain tumor segmentation. Selected imagery for testing provides difficult
and typical problems found in different cross-sectional views of brain tumor MRI segmentation.
The comparative results emphasize both the potential and weaknesses of these models.
