New fuzzy model for edge detection
James C. Bezdek, Ramachandran Chandrasekhar, Yianni Attikiouzel · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1996
We view edge detection as a sequence of four operations: conditioning, feature extraction, blending and scaling. Understanding the geometry of the feature extraction and blending functions is the key to customized edge detection models. We examine the role of each of these components, and show how they lead to the determination of input-output data for edge detecting learning models such as neural networks and fuzzy systems. An example of constructing edge images from a digitized mammogram is given to illustrate the utility of this approach.