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Determination and Classification of Blood Types using Image Processing Techniques

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
G. Ravindran, T. Joby Titus, M. Pravin, P. Pandiyan

G Ravindran, Joby T Titus, M Pravin and P Pandiyan. Determination and Classification of Blood Types using Image Processing Techniques. International Journal of Computer Applications 157(1):12-16, January 2017. BibTeX

	author = {G. Ravindran and T. Joby Titus and M. Pravin and P. Pandiyan},
	title = {Determination and Classification of Blood Types using Image Processing Techniques},
	journal = {International Journal of Computer Applications},
	issue_date = {January 2017},
	volume = {157},
	number = {1},
	month = {Jan},
	year = {2017},
	issn = {0975-8887},
	pages = {12-16},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2017912592},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Determining of blood types is very important during emergency situation before administering a blood transfusion. Presently, these tests are performed manually by technicians, which can lead to human errors. Determination of the blood types in a short period of time and without human errors is very much essential. A method is developed based on processing of images acquired during the slide test. The image processing techniques such as thresholding and morphological operations are used. The images of the slide test are obtained from the pathological laboratory are processed and the occurrence of agglutination are evaluated. Thus the developed automated method determines the blood type using image processing techniques. The developed method is useful in emergency situation to determine the blood group without human error.


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Blood samples; morphological techniques; Luminance; quantification..