Leukocyte Detection Through an Evolutionary Method - Complex System Modelling and Control Through Intelligent Soft Computations - page 156

Fig. 10 Examples of images included in the experimental set for robustness comparison.
a b Originals images. c Image contaminated with 10 % of Salt and Pepper noise and d image

polluted with

-

r ¼ 10 of Gaussian noise

Figure 10 shows two examples of the experimental set. The outcomes in terms of
the detection rate (DR) and the false alarm rate (FAR) are reported for each noise
type in Tables 3 and 4 . The results show that the proposed DE algorithm presents
the best detection performance, achieving in the worst case a DR of 89.55 and
91.10 %, under contaminated conditions of Salt and Pepper and Gaussian noise,
respectively. On the other hand, the DE detector possesses the least degradation
performance presenting a FAR value of 5.99 and 6.77 %.

6.3 Stability Comparison

In order to compare the stability performance of the proposed method, its results are
compared to those reported by Wang et al. ( 2007 ), in which is considered as an
accurate technique for the detection of WBC.