关键词: 图像分割, 活动轮廓模型, 偏微分方程, 常值初始化, 符号压力函数

Abstract: In the field of image segmentation, geometric active contour model is one of the most successful methods. Most of the existing geometric active contour models need to define an initial position for the evolution curve. This may cause the segmentation results to be affected by the position of initial contour. To this end, a new signed pressure force function is constructed based on the local and global information of the image, and a fast image segmentation model in the form of partial differential equation is proposed. The proposed model is simple and the algorithm process is easy to implement. Experimental results show that the proposed model allows constant initialization. Without initial contour, it can rapidly segment three-phase images, images with intensity inhomogeneity, images with gradually varied intensity, deep images, and so on.

Key words: image segmentation, active contour model, partial differential equation, constant initialization, signed pressure force function