文章基本信息

标题：Edge Detection in Satellite Image Using Cellular Neural Network
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作者：Osama Basil Gazi ; Dr. Mohamed Belal ; Dr. Hala Abdel-Galil 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2014
卷号：5
期号：10
DOI：10.14569/IJACSA.2014.051010
出版社：Science and Information Society (SAI)
摘要：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.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; cellular neural network; liner matrix inequality; differential evolution; genetic algorithm; Field-programmable gate array; partial differential equation