Leukocyte Detection Through an Evolutionary Method - Complex System Modelling and Control Through Intelligent Soft Computations - page 151

Table 1 DE parameters used
for leukocytes detection in
medical images

m F CR NI

20 0.25 0.80 200

Step 1: Segment the WBC ' s using the DEM algorithm (described in 4.1 )

Step 2: Get the edge map from the segmented image

Step 3: Start the ellipse detector based in DE over the edge map while saving best ellipses

(Sect. 3 )

Step 4: Define parameter values for each ellipse that identify the WBC ' s

4.3 Numerical Example

'

In order to present the algorithm s step-by-step operation, a numerical example has

been set by applying the proposed method to detect a single leukocyte lying inside
of a simple image. Figure 7 a shows the image used in the example. After applying

Fig. 7 Detection numerical example: a the image used as example. b Segmented image. c Edge
map. d Initial particles E 0 . e Trial elements T produced by the DE operators. f New population E 1 .
g Trial elements produced considering E 1 as input population. h New population E 2 . i Final

particle configuration after 25 iterations