#5902. Blood group classification system based on image processing techniques

July 2026publication date
Proposal available till 19-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Geometry and Topology;
Theoretical Computer Science;
Software;
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Abstract:
The present paper proposes a novel system that automatically classifies the eight different blood groups according to the ABO and Rh blood group sys-tems. The proposed system is developed by applying MATLAB’s image processing techniques on the blood sample images. These images are acquired from the laboratory using the slide test. It utilizes a mean filter for removing noise from blood sample images. In addition, the Contrast Limited Adaptive Histogram Equalization (CLAHE) is used for enhancing the image characteristics analysis. The proposed system also utilizes the automated threshold strategy (Otsu’s approach) for obtaining the blood samples binary images. Since, adding the three antigens (A, B, D) to the blood samples works on clumping the samples or not, and this, in turn, works on the variation number of objects and holes in the different blood groups’ samples. Therefore, the “Bwboundaries” Matlab function is applied for the first time in the proposed system to count the number of objects and holes for blood group classification.
Keywords:
ABO blood system; Blood transfusion; CLAHE; Image processing technology; Mean filter; Otsu’s approach; Paternity tests; Premarital tests; “Bwboundaries” Matlab function

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