A statistical active contour model for SAR image segmentation

Authors
Citation
Ms. Horritt, A statistical active contour model for SAR image segmentation, IMAGE VIS C, 17(3-4), 1999, pp. 213-224
Citations number
21
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
IMAGE AND VISION COMPUTING
ISSN journal
02628856 → ACNP
Volume
17
Issue
3-4
Year of publication
1999
Pages
213 - 224
Database
ISI
SICI code
0262-8856(199903)17:3-4<213:ASACMF>2.0.ZU;2-P
Abstract
A statistical active contour model is developed for segmenting synthetic ap erture radar (SAR) images into regions of homogeneous speckle statistics. T he technique measures both the local tone and texture along the contour so that no smoothing across segment boundaries occurs. A smooth contour is fav oured by the inclusion of a curvature constraint, whose weight is determine d analytically by considering the model energy balance. The algorithm spawn s smaller snakes to represent multiply connected regions. The algorithm is capable of segmenting noisy SAR imagery whilst accurately depicting (to wit hin 1 pixel) segment boundaries. (C) 1999 Elsevier Science B.V. All rights reserved.