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A Study on Edge Detection using Directional Mask in Impulse Noise Image  

Lee, Chang-Young (부경대학교 제어계측공학과)
Kim, Nam-Ho (부경대학교 제어계측공학과)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.15, no.4, 2014 , pp. 135-140 More about this Journal
Abstract
As the digital image devices are widely used, interests in the software- and the hardware-related image processing become higher and the image processing techniques are applied in various fields such as object recognition, object detection, fingerprint recognition, and etc. For the edge detections Sobel, Prewitt, Laplacian, Roberts and Canny detectors are used and these existing methods can excellently detect the edges of the images without noise. However, in the images corrupted by the impulse noise, these methods are insufficent in noise elimination characteristics, showing unsatisfactory edge detection. Therefore in this paper, in order to obtain excellent edge detection characteristics in the corrupted image by the impulse noise, an detection algorithm is porposed, which uses the central pixel of mask divided by four regions along the axis, calculates the estimated mask according to the representing pixel values in each regions, and detects the final edges by applying the estimates mask and the new directional one.
Keywords
Edge Detection; Modified Mask; High Density Impulse Noise; Algorithm;
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