MCA aided geodesic active contours for image segmentation with textures ?
Construction of the mathematical framework to realize morphological diversity during contour evolution. Proposal of a curvelet based dynamically updatable edge map in the framework of MCA. The multi-scale evolution strategy to obtain a gradually accurate convergence toward the edges. Systematic experiments for MCA-GAC.
geodesic active contours image segmentation curvelets morphological component analysis ?diversity sparse representation texture separation