Automatic Blood Cell Count Using Blob Detection Algorithm

Abstract

The red platelets, white platelets, and platelets are vital for human resistant framework. These cells attack the infection causing germs and protect the human body from diseases. White platelets are found in the bone marrow, they are emerged in the bone marrow and flow along the bloodstream. red blood cells sends the oxygen to our body. platelets are minuscule cells that help our body from clusters to quit dying. counting of cells through normal laboratory testing using microscope is common to everyone which is otherwise called as manual testing. Manual method cannot give a precise result, to solve this problem codes are generated, that helps to count the blood cells using images. Using image processing techniques and a blob detection algorithm the RBCs, WBCs and PLATELETs are differentiated from each other. The working database system keeps the records of the patients, respondents etc. Results show an accuracy of 96.32% for RBCs. Hence, the proposed system can create a benchmark in counting RBCs from the blood sample accurately when compared to the manual method.