Detection of Sickle Cell Anemia and Thalassemia using Image Processing Techniques


Authors : Lavanya T H, Sushritha S

Volume/Issue : Volume 2 - 2017, Issue 12 - December


Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/agXNES

Thomson Reuters ResearcherID : https://goo.gl/3bkzwv


Abstract : Sickle cell anemia and Thalassemia are lifelong genetic disorders characterized by Red Blood Cells that assume an abnormal sickle shape, abnormal hemoglobin structure. Sickling and structural change of hemoglobin decreases the flexibility of the cell and results in risk of various complications. This alters the cells morphology and this result can be used for classification. The proposed system takes a magnified image of the blood smear and applies various image processing techniques to detect the different disorders of red blood cell. White blood cells, platelets will automatically be removed from the image; this reduces the region of interest.

Keywords : Image Processing, Edge detection, Shape Detection, Sickle Cell, Thalassemia, K-means, Ellipse Detector.

Sickle cell anemia and Thalassemia are lifelong genetic disorders characterized by Red Blood Cells that assume an abnormal sickle shape, abnormal hemoglobin structure. Sickling and structural change of hemoglobin decreases the flexibility of the cell and results in risk of various complications. This alters the cells morphology and this result can be used for classification. The proposed system takes a magnified image of the blood smear and applies various image processing techniques to detect the different disorders of red blood cell. White blood cells, platelets will automatically be removed from the image; this reduces the region of interest.

Keywords : Image Processing, Edge detection, Shape Detection, Sickle Cell, Thalassemia, K-means, Ellipse Detector.

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