Author(s): Palvi Rani | Poonam Tanwar
Journal: International Journal of Computer Science and Engineering Survey
ISSN 0976-3252
Volume: 4;
Issue: 2;
Start page: 27;
Date: 2013;
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Keywords: Edge Detection | Neural Network | Canny Algorithm | Gaussian Filte
ABSTRACT
The objective of this paper is to present the hybrid approach for edge detection. Under this technique, edgedetection isperformed in two phase. In first phase,Canny Algorithm is applied for image smoothing and insecond phase neural network is to detecting actual edges. Neural network is a wonderful tool for edgedetection. As it is a non-linear network with built-in thresholding capability. Neural Network can be trainedwith back propagation technique using few training patterns but the most important and difficult part is toidentify the correct and proper training set.
Journal: International Journal of Computer Science and Engineering Survey
ISSN 0976-3252
Volume: 4;
Issue: 2;
Start page: 27;
Date: 2013;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: Edge Detection | Neural Network | Canny Algorithm | Gaussian Filte
ABSTRACT
The objective of this paper is to present the hybrid approach for edge detection. Under this technique, edgedetection isperformed in two phase. In first phase,Canny Algorithm is applied for image smoothing and insecond phase neural network is to detecting actual edges. Neural network is a wonderful tool for edgedetection. As it is a non-linear network with built-in thresholding capability. Neural Network can be trainedwith back propagation technique using few training patterns but the most important and difficult part is toidentify the correct and proper training set.
