A review of classical and fractional derivative order methods for edge detection in image processing

Uproszczony widok
dc.contributor.authorZerka, Fadila
dc.contributor.authorGrudzień, Krzysztof
dc.contributor.authorRomanowski, Andrzej
dc.date.accessioned2021-05-05T07:15:07Z
dc.date.available2021-05-05T07:15:07Z
dc.date.issued2016
dc.description.abstractThe 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.en_EN
dc.identifier.citationZerka 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.
dc.identifier.isbn978-83-7283-738-7
dc.identifier.urihttp://hdl.handle.net/11652/3403
dc.language.isoenen_EN
dc.publisherWydawnictwo Politechniki Łódzkiejpl_PL
dc.publisherLodz University of Technology Pressen_EN
dc.relation.ispartofRomanowski A. (red.), Sankowski D. (red), Sikora J. (red.), Algorithms, Networking and Sensing for Data Processing, Mobile Computing and Applications, Lodz University of Technology Press, Łódź 2016, ISBN 978-83-7283-738-7.
dc.relation.ispartofseriesMonografie Politechniki Łódzkiejpl_PL
dc.relation.ispartofseriesLodz University of Technology Monographsen_EN
dc.subjectedge detectionen_EN
dc.subjectfractional differential calculusen_EN
dc.subjectimage processingen_EN
dc.subjectwykrywanie krawędzipl_PL
dc.subjectułamkowy rachunek różniczkowypl_PL
dc.subjectprzetwarzanie obrazupl_PL
dc.titleA review of classical and fractional derivative order methods for edge detection in image processingen_EN
dc.typerozdział książkipl_PL
dc.typebook chapteren_EN

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