A Mean Field Solution to Anisotropic Edge Detection of Remotely Sensed Images
A new edge detection technique based on anisotropic diffusion is implemented using mean field theory. This optimization approach to edge detection provides localized, thinned, and linked edges that are useful for image segmentation and edge-based image registration algorithms. The method is well-suited for remote sensing applications that depend on accurate boundary detection, multiple region delineation, and high speed parallel implementation.