An efficient method of white blood cells detection based on artificial bee colony algorithm

The form and content of the white blood cells are the important manifestations of human body health indicators. In color blood cell images, segmentation and recognition are two essential issues in the automatic white blood cells (WBC) identification system. Since WBC can be approximately regarded as elliptic shape, so using the ellipse detection method can successfully recognize such elements. Whether segmentation problems or ellipse detection problems are time-consuming and error-prone, in view of the white blood cells segmentation and detection problem this paper introduced an efficient optimization method. Based on comparing some optimization methods, paper present an artificial bee colony (ABC) algorithm for automatic detection of WBC in color blood cell images, by transforms the detection into an optimization problem. Experimental results validate the reasonable of our proposed technique in terms of its accuracy and efficiency.