Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-11T09:59:43.313Z Has data issue: false hasContentIssue false
  • English
  • Français

A Nonlinear Parabolic Model in Processing of Medical Image

Published online by Cambridge University Press:  24 December 2008

R. Aboulaich ,
S. Boujena  and
E. El Guarmah
R. Aboulaich
Affiliation:
ERMA, Mohammadia Engineering School, Mohamed V University, Ibn Sina Str., POB 765 Agdal, Rabat, Morocco
S. Boujena*
Affiliation:
Mathematics and computing Department, Ain Chock Sciences Faculty, Km8 Route El Jadida, BOP 5366 Maârif, Casablanca
E. El Guarmah
Affiliation:
ERMA, Mohammadia Engineering School, Mohamed V University, Ibn Sina Str., POB 765 Agdal, Rabat, Morocco
*
boujena@yahoo.fr s.boujena@fsac.ac.ma
Get access

Abstract

The image's restoration is an essential step in medical imaging.Several Filters are developped to remove noise, the most interestingare filters who permits to denoise the image preserving semanticallyimportant structures. One class of recent adaptive denoising methodsis the nonlinear Partial Differential Equations who knows currently asignificant success. This work deals with mathematical study for aproposed nonlinear evolution partial differential equation for imageprocessing. The existence and the uniqueness of the solution areestablished. Using a finite differences method we experiment thevalidity of the proposed model and we illustrate the efficiently ofthe method using some medical images. The Signal to Noise Ration(SNR) number is used to estimate the quality of the restoredimages.

Keywords

nonlinear parabolic modelimageprocessingHilbert space
Type
Research Article
Information
Mathematical Modelling of Natural Phenomena , Volume 3 , Issue 6: Medical imaging , 2008 , pp. 131 - 145
Copyright
© EDP Sciences, 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)