Active contours driven by median global image fitting energy for SAR river image segmentation

Affiliation of Author(s):电子信息工程学院

Journal:DIGITAL SIGNAL PROCESSING

Key Words:Image segmentation Active contour model Median global image fitting energy Within-cluster absolute difference

Abstract:The existing active contour models can not achieve accurate segmentation of SAR river images. To solve this difficulty, a novel active contour model driven by median global image fitting energy is proposed. First, the median global fitted image is defined. Then by minimizing the difference between the median global fitted image and the original image, the energy functional of the proposed model is obtained. Moreover, the within-cluster absolute differences of the pixel grayscale values inside and outside the curve are introduced to adaptively adjust the proportions of the region energies inside and outside the curve. Compared with the popular active contour models, extensive experimental results demonstrate the proposed model has clear advantages in terms of both segmentation performance and segmentation efficiency. (C) 2017 Elsevier Inc. All rights reserved.

ISSN No.:1051-2004

Translation or Not:no

Date of Publication:2017-12-01

Co-author:韩斌

Correspondence Author:wyq

Date of Publication:2017-12-01