Combining Laplacian-Pyramid Zero-Crossings: From Theory to Applications to Image Segmentation

Image segmentation is a transformation of the original pixel array into a much more compact description, whose primitive elements should both represent complete information and capture significant properties of the physical world. A basic problem with image segmentation is that on one side we want to gain global properties of structures but on the other side don’t want to loose information about local details.