A B-snake model using statistical and geometric information-applications to medical images
Yue Wang, Eam KhwangTeoh, Dinggang G. Shen · 2004
A B-snake model using statistics information for segmenting 2D objects from medical images is presented in this paper. Based on our previous research work, a statistical model is proposed for our B-snake model, in order to use available priori knowledge about the object shape being studied. This method allows the deformation of B-snake to be influenced primarily by the most reliable matches. Experimental results show that our method is robust and accurate in object contour extraction in medical images.