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Digital Object Identifier (DOI) : 10.14569/IJACSA.2014.051010
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 5 Issue 10, 2014.
Abstract: The present paper proposes a novel approach for edge detection in satellite images based on cellular neural networks. CNN based edge detector in used conjunction with image enhancement and noise removal techniques, in order to deliver accurate edge detection results, compared with state of the art approaches. Thus, considering the obtained results, a comparison with optimal Canny edge detector is performed. The proposed image processing chain deliver more details regarding edges than canny edge detector. The proposed method aims to preserve salient information, due to its importance in all satellite image processing applications.
Osama Basil Gazi, Dr. Mohamed Belal and Dr. Hala Abdel-Galil, “Edge Detection in Satellite Image Using Cellular Neural Network” International Journal of Advanced Computer Science and Applications(IJACSA), 5(10), 2014. http://dx.doi.org/10.14569/IJACSA.2014.051010