Campaign: Medical

Blood Cell Image Segmentation Using PCNN.

In the field of biomedicine, because of cells’ complex

nature, it still remains a challenging task to segment cells from its

background and count them automatically. The Pulse-Coupled

Neural Network (PCNN) has been shown to be a very powerful

image processing tool, so, in this paper, after studying the

autowave characteristic of PCNN and morphology we present a

new method for blood cell image segmentation and counting. The

method can not only de-noise and segment blood cell image

perfectly, but also can well eliminate disturbed objects which will

serious impact the blood cell counting step, and is able to

segment specific isolated cell from its background. Experimental

results show that the algorithm is effective and the results are

desirable.

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Idea No. 537