ABSTRACT
Edge detection is a field of signal processing where the signal is an image. Edges contain most of the information making edge detection a very important image segmentation technique. Traditional edge detection uses integral order differentiation, the results of which are not satisfactory. Often, the edges are missing, fragmented or with false edges. In our proposed work, edge detection has been performed using fractional order calculus to overcome these drawbacks. Edges and noise, both are high frequency components and the presence of noise in an image can lead to erroneous results. Therefore, image denoising is performed before edge detection operation for a noisy test image.
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Index Terms
Image Edge Detection using Fractional Order Differential Calculus
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