Edge Detection - Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques - page 183

(a) (b) (c)

FIGURE 8.5
(a) Abnormal RBC (red blood cell) image, (b) edge image using the interval-valued fuzzy set
and (c) edge image using the Type II fuzzy method.

(a) (b) (c)

FIGURE 8.6
(a) Blood cell image, (b) edge image using the interval-valued fuzzy set and (c) edge image
using Type II fuzzy method.

3. Using the edge detection technique, the edge is obtained for the
thresholded image. The threshold required to edge detect the image
is appropriate as it considers only one region.

In this method, the intuitionistic fuzzy image is constructed from Sugeno's
intuitionistic fuzzy generator. The non-membership function is obtained
from Sugeno's intuitionistic fuzzy complement which is written as

( 1

1

−
+

μ
λμ

( )) x

x

Nx (()) μ =

( )) ,

λ > 0

(