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A Comprehensive Review of Sobel Edge Detector using Gray Scale Images
Edge in digital image processing is a change in the sharpness present in the digital image. These changes can be the border between a gray color image i.e. either white or black image. The main property of any of the edge detector is to extract the key information hidden in the image that we can't get using simple methods. Edge detection is basically based on the range non-continuity. Various operators are present for the purpose of the edge detection but here we discuss about the one of the prominent edge detector i.e. Sobel Edge Detector. This paper is created to guide the initial researches in the area of the edge detection and researchers can use its information for the purpose of the basic knowledge about the Sobel Edge Detector. Edge detection is used in various fields very prominently like Brain Tumor, MRI etc. The efficiency and the accountability of this operator have been discussed in this paper. All of the experimental results and simulations shown in this paper have been done on MATLAB R2012b. Various images have been taken for the experiment purposes and results of the operations have been discussed.
Keywords
Digital Image Processing, Edge Detection, Noise, Sobel Edge Detector.
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