A conventional fuzzy c- means (FCM) clustering
algorithm did not use the spatial information of the data and
is very much sensitive to noise. To improve the noise
sensitivity of FCM, Spatial FCM (SFCM) incorporates the
spatial information to improve the results. Intuitionistic fuzzy
sets introduce hesitation factor in the fuzzy sets to enhance
the performance of fuzzy sets and also added entropy to
maximize the good points in data. This paper proposed a
variant of SFCM by using intuitionistic fuzzy sets. The
algorithm is tested on the CT scan images and after
comparison it is observed that SIFCM outperformed SFCM
and IFCM in case of images.
Published In : IJCSN Journal Volume 5, Issue 1
Date of Publication : February 2016
Pages : 55-59
Figures :02
Tables : 02
Publication Link : Enhancing Spatial FCM using Intuitionistic Fuzzy
Sets
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