EFFICIENT WATERSHED BASED RED BLOOD CELL SEGMENTATION FROM DIGITAL IMAGES IN SICKLE CELL DISEASE

T Revathi, S Jeevitha
2016 International Journal of Scientific Engineering and Applied Science (IJSEAS)   unpublished
Generally Sickle cell disease is a set of inherited red blood cell disorder i.e. the sickle cell disease patients will have an abnormal haemoglobin on their red blood cells. Haemoglobin is used to pass oxygen all over the body. Normal haemoglobin will be in the shape of disc in which the cells will be flexible so it is easy to deliver oxygen via blood vessels. The abnormal haemoglobin will be in crescent shape or sickle shape. The abnormal haemoglobin creates stiff rods inside the red blood
more » ... so that it stops or slows the blood flow via blood vessels because it will bond to the blood vessels. Sickle cell disease will cause the patient's spleen, brain, eyes, lungs, liver, heart, kidneys, joints, bones or skin. This research paper discusses about the watershed transformation which is used to identify the boundary of blood samples. The main advantage of using watershed transformation algorithm is finding the regional minima on real images and it is based on region processing. Watershed transformation algorithm will provide the result as global segmentation and border closure with high accuracy.
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