Article
BLOOD TRANSFUSION SUITABILITY DETECTION USING IMAGE PROCESSING
A vital prerequisite for healthcare services is ensuring blood safety detection prior to transfusion. Transfusion hazards might arise from the presence of contaminants, clots, or aberrant aggregation in blood samples, even when blood group compatibility is proven. The manual microscopic observation used in conventional inspection techniques is labour-intensive. This paper presents an automated method for analysing transfusion compatibility using image processing techniques. The suggested method uses segmentation, noise filtering, grayscale conversion, and Canny edge recognition to handle microscopic blood pictures. To find anomalous structure patterns, morphological operations and numerical edge feature extraction are employed. The system decides if the blood sample is appropriate for transfusion based on the extracted attributes. For medical laboratories, this approach offers a quicker and more dependable initial screening tool while minimizing human participation.
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