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A novel and fast semi-automatic method for segmentation, locating andcounting blood cells in an image is proposed. In this method, thresholding isused to separate the nucleus from the other parts. We also use Hough transformfor circles to locate the center of white cells. Locating and counting of redcells is performed using template matching. We make use of finding localmaxima, labeling and mean value computation in order to shrink the areasobtained after applying Hough transform or template matching, to a single pixelas representative of location of each region. The proposed method is very fastand computes the number and location of white cells accurately. It is alsocapable of locating and counting the red cells with a small error.

A fast semi-automatic method for classification and counting the number and types of blood cells in an image