A new active contour remote sensing river image segmentation algorithm inspired from the cross entropy
A new active contour image segmentation model is proposed in this paper which measures the cross entropy of the given image and the segmented image. A level set implementation of the new active model is proposed and a distance regularized term is added to the objective functional. A fast global minimization of the new active model is proposed, and the implementation speed of this formulation is fast.
image segmentation cross entropy distance regularized term piecewise constant approximation cv model minimum within-class variance