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Image Edge Detection using Fractional Order Differential Calculus

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Published:29 December 2018Publication History

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.

References

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    • Published in

      cover image ACM Other conferences
      ICVIP '18: Proceedings of the 2018 2nd International Conference on Video and Image Processing
      December 2018
      252 pages
      ISBN:9781450366137
      DOI:10.1145/3301506

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      Publication History

      • Published: 29 December 2018

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