VARIATIONAL LEVEL SET SEGMENTATION USING SHAPE PRIOR
S. Y. Yeo, Xianghua Xie, IGOR A. SAZONOV, Perumal Nithiarasu · 2011
SUMMARY We proposed a new level set segmentation model with statistical shape prior using a variational approach. The image attraction force is derived from the interactions of gradient vectors across the whole image domain. This gives the active contour a global representation of the geometric configuration, making it more robust to image noise, weak edges and initial configurations. Statistical shape information is incorporated using a nonparametric technique is used to model the shape distribution, which allows the model to handle relatively large shape variations.