Blood Cell Count using Digital Image Processing

The basic aim of this paper is to find the RBC and WBC count using Digital Image Processing (DIP) from blood smear images captured through a compound microscope. This paper presents a method to digitally analyze the image of blood cells and find the RBC and WBC count values from the blood smear microscopic images. Plane Extraction of the microscopic images is done followed by edge detection and morphological filling operation. Circular Hough transform is performed for RBC count, whereas boundary is detected for WBC. The obtained results of the experiment are compared with lab reports and an accuracy of 91% is achieved for RBC while an accuracy of 85% is obtained for WBC.