The Research Of Level Set Methods And Their Application In Image Segmentation

Image segmentation is one of the important works of digital image processing. In the case of traditional segmentation algorithms can not complete the requirements of complex shapes proposed segmentation algorithm for image segmentation based on active contour model. Appeared geometric active contour model algorithm, successfully resolved the parametric active contour segmentation model can not deal with the issue of natural topology changes. The level set algorithm, but also greatly promoted the development of geometric active contour model in the field of image segmentation.This paper studies one of the hotspots of image segmentation based on level set method of image segmentation problem. On the basis of some of the existing algorithms and abroad on the analysis, in-depth analysis of the level set in the development of some of the classic algorithms, and applies these algorithms for medical image segmentation, to get a detailed comparative analysis of the results. Which can not be accurately segmented image on weak edge algorithms make improvements.To solve the level set method for obvious weak edge gradient information of image segmentation problem, this paper introduces the material physics crystal dislocations. The relationship between the level set algorithm movement moving target curve and the curve between the curves seen between the crystal dislocation occurs, use the elastic properties of the crystal dislocations, energy relations theory and so on, by the elastic properties of the interaction between dislocations deduced The initial velocity profile curve moves. The distance regularization level set method coupled with the speed of the image information to stop the velocity function replaces. Embed distance moving velocity curve after regularization level set method for the image segmentation, does not depend on the gradient information of the image, the image can be satisfied with a weak edge segmentation results.