This work was supported by the Natural Science Foundation of Hubei Province of China under Grant No. 2016CFB470.
机构署名：
本校为第一且通讯机构
院系归属：
数学与计算机学院
摘要：
This paper proposes a hybrid active contour model for inhomogeneous image segmentation. The data term of the energy function in the active contour consists of a global region fitting term in a difference image and a local region fitting term in the original image. The difference image is obtained by subtracting the background from the original image. The background image is dynamically estimated from a linear filtered result of the original image on the basis of the varying curve locations during the active contour evolution process. As in exis...
