The Snake Model Based on the Greedy Algorithm / 中国医学物理学杂志

ABSTRACT

Objective:For improving the imperfection of the Active contour model.Methods:This paper puts forward a new active contour model based on the greedy algorithm.The average contour length term is added into the internal energy of the model.The gradient directional energy is introduced to the external energy of the model.A fast algorithm is introduced to solve the minimum of region energy.The algorithm of add or delete snaxel also adopted in this paper.Segmentation of the MRI brain tumor are studied in the experiments.Results:Comparing to the manual segmentation and the GVF segmentation,the method is better.Conclusion:The results of experiments indicate that the model is none sensitive to initial contour.So this algorithm is practical.