Universitat de Valencia - Burjassot. Juan Gutierrez Aguado Facultat de Fisica. In this paper it is presented a greedy strategy to find the final contour of an object in a medical image, starting from an initial roughly outline. It is based on a B-snake, a set of points approximated by a cubic polynomial. This curve so defined moves towards the desired features guided by a functional energy term.
Energy has two terms, the first one controls smoothness, and another one related to image gradient.
The object contour is where energy has a minimum. B-snake application on medical images shows a well behavior, leading to robust methods, and being able to obtain precisely contours regardless image noise or bad outline initializations. This is a well-established approach in features extraction that leads to accurate and complete object detection. An extension of this method would allow a 3D reconstruction of whole organs in a body from a set of computer axial tomographies. All rights reserved.