Medical images application of contour extraction based on Hermite splines contour model

摘要

Active Contour Model or Snake model is an efficient method by which the users can extract the object contour of Region Of Interest (ROI). In this paper, we present an improved method combining Herraite splines curve and Snake model that can be used as a tool for fast and intuitive contour extraction. We choose Hermite splines curve as a basic function of Snake contour curve and present its energy function. The optimization of energy minimization is performed by Dynamic Programming technique. The validation results are presented, com-,, paring the traditional Snake model and the HSCM, showing the similar performance of the latter. We can find that HSCM can overcome the non-convex constraints efficiently. Several medical images applications illustrate that Hermite Splines Contour Model (HSCM) is more efficient than traditional Snake model.