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.