Image Processing based Counter for Blood cells

The amount of White Blood Cells and Red Blood Cells is crucial for any doctor in diagnosing various disorders, including anaemia, leukaemia, and other conditions. Therefore, accurate blood cell counting is crucial. Using a tool called a hemocytometer, the traditional procedures employed in hospital laboratories entail manually counting blood cells. However, this procedure is incredibly tedious, takes a long time, and produces unreliable results. The hardware alternatives are the Automated Haematology Counter, which is quite expensive and unaffordable in every hospital lab. This study provides an image processing method that uses thresholding and circular Hough transform to distinctly identify and count the quantity of red blood and white blood cells in the blood sample image. Detection and counting of blood cells on microscopic blood pictures of each subject resulted in an accuracy of 93.1