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Reseach Article

Determination and Classification of Blood Types using Image Processing Techniques

by G. Ravindran, T. Joby Titus, M. Pravin, P. Pandiyan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 157 - Number 1
Year of Publication: 2017
Authors: G. Ravindran, T. Joby Titus, M. Pravin, P. Pandiyan
10.5120/ijca2017912592

G. Ravindran, T. Joby Titus, M. Pravin, P. Pandiyan . Determination and Classification of Blood Types using Image Processing Techniques. International Journal of Computer Applications. 157, 1 ( Jan 2017), 12-16. DOI=10.5120/ijca2017912592

@article{ 10.5120/ijca2017912592,
author = { G. Ravindran, T. Joby Titus, M. Pravin, P. Pandiyan },
title = { Determination and Classification of Blood Types using Image Processing Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2017 },
volume = { 157 },
number = { 1 },
month = { Jan },
year = { 2017 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume157/number1/26794-2016912592/ },
doi = { 10.5120/ijca2017912592 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:02:45.006909+05:30
%A G. Ravindran
%A T. Joby Titus
%A M. Pravin
%A P. Pandiyan
%T Determination and Classification of Blood Types using Image Processing Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 157
%N 1
%P 12-16
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Blood samples morphological techniques Luminance quantification..