Literature DB >> 18444360

MR images restoration with the use of fuzzy filter having adaptive membership parameters.

I Güler1, A Toprak, A Demirhan, R Karakiş.   

Abstract

A new fuzzy adaptive median filter is presented for the noise reduction of magnetic resonance images corrupted with heavy impulse (salt and pepper) noise. In this paper, we have proposed a Fuzzy Adaptive Median Filter with Adaptive Membership Parameters (FAMFAMP) for removing highly corrupted salt and pepper noise, with preserving image edges and details. The FAMFAMP filter is an improved version of Adaptive Median Filter (AMF) and is presented in the aim of noise reduction of images corrupted with additive impulse noise. The proposed filter can preserve image details better than AMF while suppressing additive salt and pepper or impulse type noise. In this paper, we placed our preference on bell-shaped membership function with adaptive parameters instead of triangular membership function without variable coefficients in order to observe better results.

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Year:  2008        PMID: 18444360     DOI: 10.1007/s10916-008-9127-y

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  3 in total

1.  Suppression of impulse noise in medical images with the use of Fuzzy Adaptive Median Filter.

Authors:  Abdullah Toprak; Inan Güler
Journal:  J Med Syst       Date:  2006-12       Impact factor: 4.460

2.  A new efficient approach for the removal of impulse noise from highly corrupted images.

Authors:  E Abreu; M Lightstone; S K Mitra; K Arakawa
Journal:  IEEE Trans Image Process       Date:  1996       Impact factor: 10.856

3.  Histogram-based fuzzy filter for image restoration.

Authors:  Jung-Hua Wang; Wen-Jeng Liu; Lian-Da Lin
Journal:  IEEE Trans Syst Man Cybern B Cybern       Date:  2002
  3 in total
  1 in total

Review 1.  A Review on the Rule-Based Filtering Structure with Applications on Computational Biomedical Images.

Authors:  Xiao-Xia Yin; Sillas Hadjiloucas; Le Sun; John W Bowen; Yanchun Zhang
Journal:  J Healthc Eng       Date:  2022-03-08       Impact factor: 2.682

  1 in total

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