SAR River Image Segmentation by Active Contour Model Inspired by Exponential Cross Entropy

Affiliation of Author(s):电子信息工程学院

Journal:JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING

Key Words:Image segmentation SAR river image Active contour model Exponential cross entropy Edge magnitude function

Abstract: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 No.:0255-660X

Translation or Not:no

Date of Publication:2019-02-01

Co-author:韩斌

Correspondence Author:wyq

Date of Publication:2019-02-01