文章基本信息

标题：Sharp Operator Based Edge Detection
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作者：Mohammad Kalimuddin Ahmad 1 , Stephan Didas 2 , Alemdar Hasanov 3 , Javid Iqbal
期刊名称：Journal of Signal and Information Processing
印刷版ISSN：2159-4465
电子版ISSN：2159-4481
出版年度：2015
卷号：06
期号：02
页码：180-189
DOI：10.4236/jsip.2015.62017
语种：English
出版社：Scientific Research Publishing
摘要：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.
关键词：Maximal Function; Sharp Function; Image Processing; Edge Detection; Nonlinear Diffusion