A convex active contour model driven by local entropy energy with applications to infrared ship target segmentation. (1st November 2017)

• Record Type: Journal Article
• Authors: Fang, Lingling; Zhao, Wantong; Li, Xinyou; Wang, Xianghai
• Is Part Of: Optics & laser technology. Volume 96(2017)
• Page Start: 166
• Page End: 175
• Publication Date: 2017-11-01
• Subjects: Infrared ship target -- Convex active contour model -- Segmentation -- Local image entropy; Optics -- Periodicals; Lasers -- Periodicals; Electronic journals; 621.366
• DOI: 10.1016/j.optlastec.2017.05.008
• Languages: English
• ISSNs: 0030-3992

Abstract

Highlights: We propose a convex active contour model to segment ship target in infrared (IR) images. We use local image entropy to represent IR image, which is based on kernel function. The proposed method can segment infrared ship target more effectively compared with the state-of-the-art methods. Abstract: To segment ship target in infrared (IR) images, a convex active contour model based on local image entropy is proposed in this paper. Firstly, local image entropy based on kernel function is obtained; on this basis, the convex energy functional is built using the variational level set method in the convex set. Because of the introduction of entropy, the proposed method can protect the image edge and enhance the ability to deal images with heterogeneity. At the same time, the convex energy functional can get a global minimum and has robustness against initial curve placement. Compared with the state-of-the-art methods, experiment results demonstrate the performance and effectiveness of the proposed method.