关键词: 图像分割, 边界指示函数, CV模型, 水平集演化方程, 双阱势距离正则项

Abstract: The CV model of edgeless active contours lacks a good segmentation effect for the images with blurred boundary and non-uniform background gray distribution. For this reason, the following improvements have been made to this model in this paper. Firstly, the boundary indicator function is modified and the improved boundary indicator function is integrated into the length of the CV model. Secondly, the distance regularization term of the double-well potential is introduced into the CV model to avoid re-initialization of the level set. Thus, a level set evolution equation combining gradient and region information is obtained, and the equation is solved using the finite difference method in variation method. Finally, the numerical simulation of wood bug, live knot and dead knot image is carried out. The simulation results show that the model has good segmentation effect for images with uneven background distribution.

Key words: image segmentation, boundary indication function, CV model, boundary indication function, double-well potential distance regular term