关键词: 活动轮廓模型, 图像分割, 符号压力函数, 水平集

Abstract: The active contour model based on global information can not effectively segment images with intensity inhomogeneities. While, the active contour model based on local information is sensitive to the location of initial contour. Therefore, a new Signed Pressure Force（SPF） function is constructed, which combins global information with local information. And the SPF of Selective Binary and Gaussian Filtering Regularized Level Set（SBGFRLS） model is replaced by the new SPF. Meanwhile, a new balloon force function is constructed. Level set method of SBGFRLS in evolving contour curve is continued to use. Experimental results demonstrate the high accuracy of the segmentation results on images with intensity inhomogeneities, less sensitive to the location of initial contour, and good anti-noise performance.

Key words: active contour model, image segmentation, signed pressure force function, level set