Sharp operator based edge detection

  • Ahmad et al. in their paper for the first time proposed to apply sharp function for classification of images. In continuation of their work, in this paper we investigate the use of sharp function as an edge detector through well known diffusion models. Further, we discuss the formulation of weak solution of nonlinear diffusion equation and prove uniqueness of weak solution of nonlinear problem. The anisotropic generalization of sharp operator based diffusion has also been implemented and tested on various types of images.

Download full text files

Export metadata

Author:Mohammad Kalimuddin Ahmad, Stephan DidasORCiD, Alemdar Hasanov, Javid Iqbal
Parent Title (English):Journal of Signal and Information Processing
Publisher:Scientific Research Publishing
Document Type:Article (specialist journals)
Date of OPUS upload:2023/02/28
Date of first Publication:2015/05/28
Publishing University:Hochschule Trier
Release Date:2023/02/28
Tag:edge detection; image processing; maximal function; nonlinear diffusion; sharp function
GND Keyword:Bild; Klassifikation; Bildverarbeitung; Konturfindung; Nichtlineare Diffusion
Page Number:10
First Page:180
Last Page:189
Departments:FB Umweltplanung/-technik (UCB)
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme
5 Naturwissenschaften und Mathematik / 51 Mathematik
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International