Image Processing Reference
In-Depth Information
(a)
(b)
(c)
(d)
FIGURE 6.2
(a) Blood vessel image, (b) fuzzy divergence, (c) fuzzy geometry and (d) fuzzy cluster.
It is observed from these figures that different fuzzy methods perform
differently and work better on medical images, but in some cases as shown
in Figure 6.2, blood vessels are not clearly visible due to noise present in
the image. So, advanced fuzzy set theories are used by the researchers for
thresholding where either more numbers of uncertainties or different kinds
of uncertainties are used. This is done to obtain better results when better
results are not obtained using fuzzy methods.
6.4 Intuitionistic Fuzzy Threshold Detection Methods
This section discusses different methods of image thresholding using intu-
itionistic fuzzy set theory. Fuzzy methods give better results as it deals with
imprecise information (one uncertainty), but intuitionistic fuzzy set consid-
ers more (two) uncertainties. As medical images are poorly illuminated and
the boundaries/edges and regions are not clearly visible, a better result may
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