Title :
Edge detection method with CNN
Author :
Yoshida, T. ; Kawata, J. ; Tada, T. ; Ushida, A. ; Morimoto, J.
Author_Institution :
Tokushima Bunri Univ., Kagawa, Japan
Abstract :
In this paper, we propose an edge detection system with cellular neural network. Applications of this method to remotely sensed images are investigated. First, it is applied the image emphasis method to extract edge information. Next, it is made a binary image. Finally, it is applied the noise decrease method. The edge detection result show that this approach produces excellent results which are more realistic and noiseless compared with conventional edge detection methods.
Keywords :
application program interfaces; cellular neural nets; edge detection; binary image; cellular neural network; edge detection; edge information extraction; image emphasis; remotely sensed image;
Conference_Titel :
SICE 2004 Annual Conference
Conference_Location :
Sapporo
Print_ISBN :
4-907764-22-7
