Edge detecting of an image is the most important process in image analyzing because many application problems base on edge. In practice, lost of image processing like dynamic process; real time process; recognition in determining position of motivable multitargets in security, military; testing the quality of product of in-line producing; process radical image in medical; control interactive activities in smart robot... need to have useful tool for processing in high speed. Cellular Neural network with parallel architectures can process mentioned edge detecting problem much faster than conventional method. This paper introduces the applying of CNN for edge detecting problem, it is divided in to 4 parts. Part I Introduction; part 2 overview the basic knowledge of CNN used in image processing; part 3 gives the problem and solution for solving consist of algorithm and program; in the last part gives conclusion and developing trends.
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