A statistical active contour model for SAR image segmentation

被引：116

作者：

Horritt, MS ^{[1
]}

机构：

[1] Univ Reading, Environm Syst Sci Ctr, Nat Environm Res Council, Reading RG6 6AL, Berks, England

来源：

IMAGE AND VISION COMPUTING | 1999年 / 17卷 / 3-4期

关键词：

synthetic aperture radar; active contour model; image segmentation; texture;

D O I：

10.1016/S0262-8856(98)00101-2

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A statistical active contour model is developed for segmenting synthetic aperture radar (SAR) images into regions of homogeneous speckle statistics. The technique measures both the local tone and texture along the contour so that no smoothing across segment boundaries occurs. A smooth contour is favoured by the inclusion of a curvature constraint, whose weight is determined analytically by considering the model energy balance. The algorithm spawns smaller snakes to represent multiply connected regions. The algorithm is capable of segmenting noisy SAR imagery whilst accurately depicting (to within 1 pixel) segment boundaries. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：213 / 224

页数：12