An automated blood cell analysis and classification system

Direct analysis of blood and bone marrow smear images obtained from microscope are not common in current trends of hematology. Current blood smear analysis methods heavily depend on flow cytometry based techniques in which the blood cells are flew through microtubes thus classified according to their flow characteristics and cell volumes. This method is an indirect way of measuring features hence is accurate at a certain level. In this work an automated blood cell classification system is presented including cell segmentation, cell partitioning and classification