Investigations of Cellular Automata Linear Rules for Edge Detection
Автор: Fasel Qadir, Khan K. A.
Журнал: International Journal of Computer Network and Information Security(IJCNIS) @ijcnis
Статья в выпуске: 3 vol.4, 2012 года.
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Edge detection of images is one of the basic and most significant operations in image processing and is used for object background separation, 3-D interpretation of a 2-D image, and pre-processing in image understanding and recognition algorithms. In this paper we investigate cellular automata linear rules for edge detection and based on this investigation we have classified the rules into no edge detection rules, strong edge detection rules and weak edge detection rules. Finally, we show the comparative analysis of the proposed technique with already defined techniques for edge detection and the results show desirable performance.
Cellular Automata, Linear Rules, Image Processing, Edge Detection
Короткий адрес: https://sciup.org/15011067
IDR: 15011067
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