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Reseach Article

Efficient Algorithm to Enhance Lung Lobe Images using Fuzzy Filtering

by Z.Faizal Khan, S.N. Kumar, Dr.V.Kavitha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 25 - Number 6
Year of Publication: 2011
Authors: Z.Faizal Khan, S.N. Kumar, Dr.V.Kavitha
10.5120/3037-4118

Z.Faizal Khan, S.N. Kumar, Dr.V.Kavitha . Efficient Algorithm to Enhance Lung Lobe Images using Fuzzy Filtering. International Journal of Computer Applications. 25, 6 ( July 2011), 19-24. DOI=10.5120/3037-4118

@article{ 10.5120/3037-4118,
author = { Z.Faizal Khan, S.N. Kumar, Dr.V.Kavitha },
title = { Efficient Algorithm to Enhance Lung Lobe Images using Fuzzy Filtering },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 25 },
number = { 6 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 19-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume25/number6/3037-4118/ },
doi = { 10.5120/3037-4118 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:11:02.159773+05:30
%A Z.Faizal Khan
%A S.N. Kumar
%A Dr.V.Kavitha
%T Efficient Algorithm to Enhance Lung Lobe Images using Fuzzy Filtering
%J International Journal of Computer Applications
%@ 0975-8887
%V 25
%N 6
%P 19-24
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Preprocessing is done on the CT image of lung for removal of noise. A fuzzy filter is presented for the noise reduction of medical images corrupted with additive noise. The filter operation involves two stages. The first stage computes a fuzzy derivative for eight different directions. The second stage uses these fuzzy derivatives to perform smoothing with the fuzzification and De fuzzification operations along by weighting the contributions of neighboring pixel values. Both stages are based on fuzzy rules. The filter can be applied iteratively to effectively reduce heavy noise. In particular, the shape of the membership functions is adapted according to the remaining noise level after each iteration, making use of the distribution of the homogeneity in the image.

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Index Terms

Computer Science
Information Sciences

Keywords

Lung Lobe Images Fuzzy Filtering Fuzzification De fuzzification