River SAR image segmentation using L1 norm based hybrid active con-tours
To solve the problem that the existing active contour models are difficult to segment river SAR images accurately,this paper presents a hybrid active contour model based on the L1 norm.First,the median values of the pixel intensities in the inner and outer regions of the contour curve are calculated as the region fitting centers to suppress the influence of the interfer-ence regions in SAR images on their accuracies.Second,the L1 norm is used to construct a new energy constraint term and the edge indicator function is introduced into the model's energy functional to further enhance the segmentation performance.Final-ly,the median and mean energy constraint terms based on the L1 norm are combined and additional region-fitting center con-straint terms are added to improve the overall stability of the model.The segmentation experiments on real river SAR images show that the proposed model can segment river SAR images more accurately and stably than the existing models.
river segmentationSAR imageactive contour modelhybrid energy termL1 norm
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