• polski
    • English
Lodz University of Technology Repository
TUL Repository
  • English 
    • polski
    • English
  • Login
View Item 
  •   Home
  • Wydział Elektrotechniki, Elektroniki, Informatyki i Automatyki / Faculty of Electrical, Electronic, Computer and Control Engineering / W2
  • Książki, monografie, podręczniki, rozdziały (WEEIiA)
  • View Item
  •   Home
  • Wydział Elektrotechniki, Elektroniki, Informatyki i Automatyki / Faculty of Electrical, Electronic, Computer and Control Engineering / W2
  • Książki, monografie, podręczniki, rozdziały (WEEIiA)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

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

Thumbnail
View/Open
Review_class_Zerka_Grudzien_2016.pdf (3.238Mb)
Date
2016
Author
Zerka, Fadila
Grudzień, Krzysztof
Romanowski, Andrzej
Metadata
Show full item record
Abstract
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.
URI
http://hdl.handle.net/11652/3403
Collections
  • Książki, monografie, podręczniki, rozdziały (WEEIiA) [124]

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

DSpace software copyright © 2002-2016  DuraSpace
Contact Us | Send Feedback
Theme by 
Atmire NV