A geometric snake model for segmentation of medical imagery
Résumé
We employ the new geometric active contour models, previously
formulated, for edge detection and segmentation of magnetic
resonance imaging (MRI), computed tomography (CT), and ultrasound
medical imagery. Our method is based on defining feature-based
metrics on a given image which in turn leads to a novel snake
paradigm in which the feature of interest may be considered to lie
at the bottom of a potential well. Thus, the snake is attracted
very quickly and efficiently to the desired feature.