SAR image segmentation based on active contours with fuzzy logic
Umer Javed, Muhammad Mohsin Riaz, Abdul Ghafoor, Tanveer Ahmed Cheema · IEEE Transactions on Aerospace and Electronic Systems · 2016
In this paper, a fuzzy weighted active contour model for synthetic aperture radar image segmentation is proposed. A feature-based approach comprising weighted active contours and level set segmentation is used to improve segmentation results. A fuzzy inference engine is used to assign weights to pixels of the level set function based on local entropy and local variance. Experiment results show that the proposed scheme improves the segmentation efficiency and accuracy as compared with the existing region-scalable fitting scheme.