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Fig. 9 Resulting images of the second test after applying the WBC detector: a original image,
b image segmented by the DEM algorithm, c edge map and d the white detected blood cells
Such images contain 517 leukocytes (287 bright leukocytes and 230 dark leukocytes
according to smear conditions) which have been detected and counted by a human
expert. Such values act as ground truth for all the experiments. For the comparison,
the detection rate (DR) is de
ned as the ratio between the number of leukocytes
correctly detected and the number leukocytes determined by the expert. The false
alarm rate (FAR) is de
ned as the ratio between the number of non-leukocyte objects
that have been wrongly identi
ed as leukocytes and the number leukocytes which
have been actually determined by the expert.
Experimental results show that the proposed DE method, which achieves
98.26 % leukocyte detection accuracy with 2.71 % false alarm rate, is compared
favorably against other WBC detection algorithms, such as the BSV approach, the
IO method, the Wang algorithm and the BGA detector.
6.2 Robustness Comparison
Images of blood smear are often deteriorated by noise due to various sources of
interference and other phenomena that affect the measurement processes in imaging
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