A Pictorial Review and an Algorithm for the Determination of Sickle Cell Anemia
Hariharan.S1, Parvathy.B.H2, Aruna.N.S3
1Dr. Hariharan S., Professor, Department of Electrical Engineering, College of Engineering, Trivandrum, University of Kerala, Thiruvananthapuram (Kerala), India.
2Parvathy B.H., Department of Electronics and Communication Engineering, Sahrdaya College of Engineering and Technology, Thrissur (Kerala), India.
3Aruna N.S., Research Scholar, Department of Electrical Engineering, College of Engineering, Trivandrum, University of Kerala, Thiruvananthapuram (Kerala), India.
Manuscript received on 15 December 2015 | Revised Manuscript received on 25 December 2015 | Manuscript Published on 30 December 2015 | PP: 15-20 | Volume-5 Issue-2, December 2015 | Retrieval Number: B4323125215/15©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Sickle cell anemia (SCA) is a heritable blood disorder which is caused by lack of red blood cells in the blood. In sickle cell anemia, red blood cell shape is changed to sickle shape or half-moon shape, which blocks the flow of blood in small blood vessels in the body. In this disease the characteristics of red blood cell will change and they become sticky and bind together. In some cases it elongates and becomes elliptical in shape. In this paper a brief pictorial review of sickle cell anemia is presented to attract the attention among researchers to work with a common goal for the elimination of this disease from this world. We have collected few SCA affected blood images and an effort is made for the analysis of these images. An algorithm is proposed to detect the presence of SCA.
Keywords: Computer Processing Of Red Blood Corpuscles, Image Processing of Blood Cells, Cell Image Analysis, Sickle Cell Anemia.
Scope of the Article: Image Processing