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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/39215
Title: 
A well-balanced flow equation for noise removal and edge detection
Author(s): 
Institution: 
  • Universidade Federal de Uberlândia (UFU)
  • Universidade Estadual Paulista (UNESP)
ISSN: 
1057-7149
Abstract: 
In this paper, an anisotropic nonlinear diffusion equation for image restoration is presented. The model has two terms: the diffusion and the forcing term. The balance between these terms is made in a selective way, in which boundary points and interior points of the objects that make up the image are treated differently. The optimal smoothing time concept, which allows for finding the ideal stop time for the evolution of the partial differential equation is also proposed. Numerical results show the proposed model's high performance.
Issue Date: 
1-Jul-2003
Citation: 
IEEE Transactions on Image Processing. Piscataway: IEEE-Inst Electrical Electronics Engineers Inc., v. 12, n. 7, p. 751-763, 2003.
Time Duration: 
751-763
Publisher: 
Institute of Electrical and Electronics Engineers (IEEE)
Keywords: 
  • diffusion equation
  • edge detection
  • Image processing
  • noise removal
Source: 
http://dx.doi.org/10.1109/TIP.2003.814242
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/39215
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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