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http://dx.doi.org/10.6109/jkiice.2014.18.8.1973

A Study on Edge Detection Algorithm in Salt & Pepper Noise Environments  

Lee, Chang-Young (Dept. of Control and Instrumentation Eng., Pukyong National University)
Kim, Nam-Ho (Dept. of Control and Instrumentation Eng., Pukyong National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.8, 2014 , pp. 1973-1980 More about this Journal
Abstract
Edge detection for such as image, lane and object recognition is important image processing method. And some traditional method for this, there are Sobel, Prewitt, Roberts, Laplacian, LoG(Laplacian of Gaussian) and so on. Characteristics of these methods are insufficient in the salt & pepper noise added image. In order to improve such a problem of conventional methods, in this paper, we proposed an algorithm applying the weighted mask for detecting an edge by setting the local mask centered on the adjacent of the central pixel if central pixel of the mask is non-noise, it is intactly set by element of estimated mask, after calculating estimated mask if it is noise.
Keywords
Edge Detection; Salt & Pepper Noise; Algorithm;
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