Thursday, 25 October 2018

MATLAB code for Blood Group Detection using Image Processing

Blood Group Detection is most important aspect in medical field. 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.

Blood typing is a method to tell what type of blood you have. Blood typing is done so you can safely donate your blood or receive a blood transfusion. It is also done to see if you have a substance called Rh factor on the surface of your red blood cells. Your blood type is based on whether or not certain proteins are on your red blood cells. These proteins are called antigens. Your blood type (or blood group) depends on what types your parents passed down to you. Blood is often grouped according to the ABO blood typing system. The 4 major blood types are:
          Type A
          Type B
          Type AB
          Type O
In this post we have mentioned Blood group detection using image processing technique. The basic methodology we have used is Morphology and color plane extraction. The algorithm is developed in MATLAB and tested over various blood database.

Fig: Blank GUI Application file of Blood Group Detection

Fig: Blood Group Detected

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