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Sharp Operator Based Edge Detection
Department of Mathematics, Aligarh Muslim University, Aligarh, India
Hochschule Trier, Umwelt-Campus Birkenfeld, Fachbereich Umweltplanung/Umwelttechnik, Postfach 1380, Birkenfeld, Germany
Department of Mathematics and Computer Science, Izmir University, Izmir, Turkey
Department of Mathematics, Baba Ghulam Shah Badshah University, Rajouri, India
- 1 Department of Mathematics, Aligarh Muslim University, Aligarh, India
- 2 Hochschule Trier, Umwelt-Campus Birkenfeld, Fachbereich Umweltplanung/Umwelttechnik, Postfach 1380, Birkenfeld, Germany
- 3 Department of Mathematics and Computer Science, Izmir University, Izmir, Turkey
- 4 Department of Mathematics, Baba Ghulam Shah Badshah University, Rajouri, India
Journal of Signal and Information Processing·Volume 06 (2015)·Pages 180–189·Published 27 March 2015·DOI10.4236/jsip.2015.62017
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Abstract
Ahmad et al. in their paper [1] 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.
KeywordsMaximal FunctionSharp FunctionImage ProcessingEdge DetectionNonlinear Diffusion
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