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Title: :  Effective use of image processing techniques for the detection of sickle cell anemia and presence of Plasmodium parasites
PaperId: :  1790
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 2 2016
DUI:    16.0415/IJARIIE-1790
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
V.S.AkshayaPANIMALAR ENGINEERING COLLEGE
Mrs.S.Mary Asha RexcyPANIMALAR ENGINEERING COLLEGE
S.AbinayaPANIMALAR ENGINEERING COLLEGE
K.S.SwethaPANIMALAR ENGINEERING COLLEGE

Abstract

Information Technology
Sickle cell, Parasite detection, Otsu segmentation, Feature extraction, morphological operations
Various blood related diseases have been increasing over the years due to various internal and external factors affecting more than a million people causing long term illness and mortality. Two such diseases are anemia and malarial fever. Anemia is a condition which is determined by low count of red blood cells or abnormally shaped red blood cells. Anemia causes weariness, paleness and tiredness. There are several types of anemia like thalassaemia, fanconi anemia, haemolytic anaemia etc among which sickle cell anemia is the most common one. Sickle cells refer to abnormal crescent shaped red blood cells present in the blood, which may cause severe pain and permanent damage to brain, lungs, kidney and spleen. Malaria is a most common infectious disease that is caused by parasites in the saliva of the mosquitoes in human and other animals, which eventually affect the red blood cells causing a sharp rise in body temperature. Common symptoms of malaria include dry cough, headache, muscle pain and fatigue. The proposed paper focuses on the detection of blood anemia and malarial fever by examining the blood stain and detecting abnormal red blood cells such as sickle cells and presence of plasmodium parasites on the blood cells through an computer-based automated system which uses image processing techniques like Otsu segmentation for binary conversion and feature extraction using morphological operations than the most commonly followed traditional laboratory method where the pathologists are needed to examine the blood requiring more time and cost for diagnosis. The result are found to be 89% accurate which more efficient than existing methods.

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IJARIIE V.S.Akshaya, Mrs.S.Mary Asha Rexcy, S.Abinaya, and K.S.Swetha. "Effective use of image processing techniques for the detection of sickle cell anemia and presence of Plasmodium parasites" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 2 2016 Page 701-706
MLA V.S.Akshaya, Mrs.S.Mary Asha Rexcy, S.Abinaya, and K.S.Swetha. "Effective use of image processing techniques for the detection of sickle cell anemia and presence of Plasmodium parasites." International Journal Of Advance Research And Innovative Ideas In Education 2.2(2016) : 701-706.
APA V.S.Akshaya, Mrs.S.Mary Asha Rexcy, S.Abinaya, & K.S.Swetha. (2016). Effective use of image processing techniques for the detection of sickle cell anemia and presence of Plasmodium parasites. International Journal Of Advance Research And Innovative Ideas In Education, 2(2), 701-706.
Chicago V.S.Akshaya, Mrs.S.Mary Asha Rexcy, S.Abinaya, and K.S.Swetha. "Effective use of image processing techniques for the detection of sickle cell anemia and presence of Plasmodium parasites." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 2 (2016) : 701-706.
Oxford V.S.Akshaya, Mrs.S.Mary Asha Rexcy, S.Abinaya, and K.S.Swetha. 'Effective use of image processing techniques for the detection of sickle cell anemia and presence of Plasmodium parasites', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 2, 2016, p. 701-706. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Effective_use_of_image_processing_techniques_for_the_detection_of_sickle_cell_anemia_and_presence_of_Plasmodium_parasites_ijariie1790.pdf (Accessed : 08 November 2016).
Harvard V.S.Akshaya, Mrs.S.Mary Asha Rexcy, S.Abinaya, and K.S.Swetha. (2016) 'Effective use of image processing techniques for the detection of sickle cell anemia and presence of Plasmodium parasites', International Journal Of Advance Research And Innovative Ideas In Education, 2(2), pp. 701-706IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Effective_use_of_image_processing_techniques_for_the_detection_of_sickle_cell_anemia_and_presence_of_Plasmodium_parasites_ijariie1790.pdf (Accessed : 08 November 2016)
IEEE V.S.Akshaya, Mrs.S.Mary Asha Rexcy, S.Abinaya, and K.S.Swetha, "Effective use of image processing techniques for the detection of sickle cell anemia and presence of Plasmodium parasites," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 2, pp. 701-706, Mar-App 2016. [Online]. Available: http://ijariie.com/AdminUploadPdf/Effective_use_of_image_processing_techniques_for_the_detection_of_sickle_cell_anemia_and_presence_of_Plasmodium_parasites_ijariie1790.pdf [Accessed : 08 November 2016].
Turabian V.S.Akshaya, Mrs.S.Mary Asha Rexcy, S.Abinaya, and K.S.Swetha. "Effective use of image processing techniques for the detection of sickle cell anemia and presence of Plasmodium parasites." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 2 (08 November 2016).
Vancouver V.S.Akshaya, Mrs.S.Mary Asha Rexcy, S.Abinaya, and K.S.Swetha. Effective use of image processing techniques for the detection of sickle cell anemia and presence of Plasmodium parasites. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : 08 November 2016]; 2(2) : 701-706. Available from: http://ijariie.com/AdminUploadPdf/Effective_use_of_image_processing_techniques_for_the_detection_of_sickle_cell_anemia_and_presence_of_Plasmodium_parasites_ijariie1790.pdf
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