Avoidance of Re-Initialization in Level Set Image Segmentation
Jiwen Wang · Computer Technology and Development · 2009
Level set method has effectively solved the problem of the topology change in the procedure of curve evolution of the image segmentation,and the essence of the image segmentation technique using level set method is the combination of level set methods and theoretical models,and to solve partial differential equations model using level set method.In order to keep approximately the level set function as a signed distance function during the iterative procedure and ensure stable the convergence of the level set function,it is necessary to re-initializate signed distance function.But the time-consuming re-initialization procedure is not necessary and the avoidance of re-initialization procedure will speed up the curve evolution and the image segmentation.Already,the results of some experiments show that some models formulations without re-initializate signed distance function is very effective and has a strong robustness.The avoidance of re-initialization of signed distance function reduces the time of calculation and makes the level set method more applicable in life and industry.In this paper,exploration done about avoidance of re-initialization in image segmentation using the level set method was reviewed and outlooked.