International Journal of Computational Intelligence Systems

Volume 7, Issue 4, August 2014, Pages 686 - 695

Construction of fuzzy edge image using Interval Type II fuzzy set

Authors
Tamalika Chaira, A. K. Ray
Corresponding Author
Tamalika Chaira
Available Online 1 August 2014.
DOI
https://doi.org/10.1080/18756891.2013.862356How to use a DOI?
Keywords
Type II fuzzy set, fuzzy T norm, fuzzy T co norm, fuzzy divergence, medical image
Abstract
In this paper, a novel method to generate fuzzy edges in medical images using the Type II fuzzy set theory is presented. Medical images are normally poorly illuminated and many edges are not visible properly, so construction of fuzzy edge image is a difficult task. Fuzzy edges are not the binary edges but it signifies the change in intensity levels of the image. The method is based on computation of minimum and maximum values of the intensity levels of the image in a 3x3 pixel neighborhood to form two image matrices with maximum and minimum values. For better representation of uncertainty, Type II fuzzy set is applied to compute upper and lower membership levels of each image matrix. Divergence is computed between the two levels of the maximum value image matrix and also for the minimum value image matrix. Finally, difference between the divergence matrices produces an edge image. Experiment has been performed on several poorly illuminated medical images and the edges are observed to better when compared with the existing edge methods.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
7 - 4
Pages
686 - 695
Publication Date
2014/08
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2013.862356How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Tamalika Chaira
AU  - A. K. Ray
PY  - 2014
DA  - 2014/08
TI  - Construction of fuzzy edge image using Interval Type II fuzzy set
JO  - International Journal of Computational Intelligence Systems
SP  - 686
EP  - 695
VL  - 7
IS  - 4
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.862356
DO  - https://doi.org/10.1080/18756891.2013.862356
ID  - Chaira2014
ER  -