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所属单位：电子信息工程学院

发表刊物：JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING

关键字：Image segmentation SAR river image Active contour model Exponential cross entropy Edge magnitude function

摘要：Utilizing the existing active contour models to achieve accurate segmentation of SAR river images is ineffective. To address this difficult, a novel active contour model inspired by exponential cross entropy is proposed. The external energy constraint term of the proposed model is defined inspired by exponential cross entropy. Then, the means of the pixel grayscale values inside and outside the curve are utilized to modify the external energy constraint term, which can improve segmentation performance. Moreover, the Dirac function is replaced by the edge magnitude function to accelerate the curve evolution, which can improve segmentation efficiency. The extensive experiments are performed on a large number of SAR river images and the results demonstrate that the proposed model outperforms the existing active contour models in terms of both segmentation performance and segmentation efficiency.

ISSN号：0255-660X

是否译文：否

发表时间：2019-02-01

合写作者：韩斌

通讯作者：吴一全