Automated Red Blood Cells Counting in Peripheral Blood Smear Image Using Circular Hough Transform

In medical field, the number of red blood cells (RBC) are used as an indicator to detect the type of diseases such as malaria, anemia, leukemia and etc. The problems using manual counting of RBC under the microscope is tend to give inaccurate result and errors. This paper proposed a method to count a total number of RBC in peripheral blood smear image by using circular Hough transform (CHT) method. The process involves preprocessing and segmentation a single cell image of RBC after cropping it to get the minimum and maximum radius of cell. Then, CHT method is applied to detect and count the number of RBC based on the range radius of cells. The results show that from ten samples of peripheral blood smear image, the accuracy using CHT method is 91.87%.