关键词: 图像分割, 自适应, 偏微分方程, 活动轮廓, 水平集方法

Abstract:

An adaptive active contour model for weak boundary extraction was proposed to improve LI′s distance preserving level set method. Besides, the adaptive force was proved to be bidirectional. The mean gray value of the image was added in the coefficient of the proposed model, so that the adaptive force could shrink or expand adaptively according to the position of the evolution curve. The experimental results showed that the proposed method could overcome the problem of LI′s model, which was that the initial contour must be fully enclosed by or contained within the target object. It was robust with the position of the initial contour and noise, and could segment multitarget images.

Key words: active contour, level set method, image segmentation, partial differential equation, adaptive