点击次数：

所属单位：电子信息工程学院

发表刊物：MULTIMEDIA TOOLS AND APPLICATIONS

关键字：Image segmentation Active contour model Weighted global fitted image Cross entropy

摘要：This paper proposes a hybrid active contour model driven by novel global and local fitting energies for image segmentation. First, the global fitting term is defined by minimizing the difference between the weighted global fitted image and the original image, which describes the global information more accurately. Second, the local fitting term is defined by the cross entropy to compute the local information, which improves the generality of the proposed model. Experiments are performed on synthetic and real images and the results demonstrate that compared with existing active contour models, the proposed model has advantages in terms of segmentation performance and robustness to initial contour and noise.

ISSN号：1380-7501

是否译文：否

发表时间：2018-11-01

合写作者：韩斌

通讯作者：吴一全