A review of classical and fractional derivative order methods for edge detection in image processing
Data
2016
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
The main goal of this work is compare between the classical edge detectors and
an approach of edge detection based on fractional differentiation. Classical edge
detectors based on first order derivative: Prewitt, Sobel and Canny and one edge
detector based on second order derivative: Laplacian is discussed. Also the 2nd order
fractional differentiation approach of edge detection is presented. To check the
effect of image smoothing on edge detection results additionally, for results comparison
between different methods, a smoothing filter is applied for Prewitt, Sobel,
Laplacian. The comparison is conducted from time consuming point of view and
quality of edge detection level.
Opis
Słowa kluczowe
edge detection, fractional differential calculus, image processing, wykrywanie krawędzi, ułamkowy rachunek różniczkowy, przetwarzanie obrazu
Cytowanie
Zerka F., Grudzień K., Romanowski A., A review of classical and fractional derivative order methods for edge detection in image processing. W: Algorithms, Networking and Sensing for Data Processing, Mobile Computing and Applications, Romanowski A. (red.), Sankowski D. (red), Sikora J. (red.), Lodz University of Technology Press, Łódź 2016, s. 171-188, ISBN 978-83-7283-738-7.