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Fig. 6 Preprocessing process. a original smear image, b segmented image obtained by DEM and
c the edge map obtained by using the morphological edge detection procedure
eroded image is inverted (I
E
) and compared with the original image (I
E
^
I
B
)in
order to detect pixels which are present in both images. Such pixels compose the
computed edge map from I
B
. Figure
6
c shows the edge map obtained by using the
morphological edge detection procedure.
4.2 Ellipse Detection Approach
The edge map is used as input image for the ellipse detector presented in Sect.
3
.
Table
1
presents the parameter set that has been used in this work for the DE
algorithm after several calibration examples have been conducted. The
final con-
figuration matches the best possible calibration proposed in (Wang and Huang
2010
), where it has been analyzed the effect of modifying the DE-parameters for
several generic optimization problems. The population-size parameter (m = 20) has
been selected considering the best possible balance between convergence and
computational overload. Once it has been set, such con
guration has been kept for
all test images employed in the experimental study.
Under such assumptions, the complete process to detect WBC
'
is is implemented
as follows:
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