Genetic Programming Based Composite Filter for Rician Noise Reduction

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Muhammad Sharif and Muhammad Arfan Jaffar and 
                 Muhammad Tariq Mahmood",
  title =        "Genetic Programming Based Composite Filter for
                 {Rician} Noise Reduction",
  booktitle =    "IEEE International Conference on Systems, Man, and
                 Cybernetics (SMC 2013)",
  year =         "2013",
  month =        oct,
  pages =        "1317--1322",
  keywords =     "genetic algorithms, genetic programming, Mathematical
                 Morphology, MR Images, Rician Noise, Composite Filer,
  DOI =          "doi:10.1109/SMC.2013.228",
  abstract =     "Composite filters based on Mathematical Morphological
                 (MM) operators are getting considerable attraction in
                 denoising Magnetic Resonance (MR) images. However, most
                 of the approaches depend on pre-fixed combination of MM
                 operators. In this paper, we propose a genetic
                 programming (GP) based approach for denoising MR
                 images. An Optimal Composite Morphological Supervised
                 Filter FOCMSF is developed through a certain number of
                 generations by combining the gray-scale MM operators
                 under a fitness criterion. The proposed method does not
                 need any prior information about the noise variance.
                 The improved performance of the developed filter is
                 investigated using the standard MRI data sets and its
                 performance is compared with previously proposed
                 state-of-the art methods. Comparative analysis
                 demonstrates the superiority of the proposed GP based
                 scheme over the existing approaches.",
  notes =        "Also known as \cite{6721981}",

Genetic Programming entries for Muhammad Sharif Arfan Jaffar Muhammad Tariq Mahmood