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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.
Author: | Mohammad Kalimuddin Ahmad, Stephan DidasORCiD, Alemdar Hasanov, Javid Iqbal |
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URN: | urn:nbn:de:hbz:tr5-2520 |
DOI: | https://doi.org/10.4236/jsip.2015.62017 |
Parent Title (English): | Journal of Signal and Information Processing |
Publisher: | Scientific Research Publishing |
Document Type: | Article (specialist journals) |
Language: | English |
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 |
Volume: | 6 |
Issue: | 2 |
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): | Creative Commons - CC BY - Namensnennung 4.0 International |