OPTIMIZED HAEMATOLOGICAL TYPE IDENTIFICATION WITH NON-INVASIVE IMAGE PROCESSING
Main Article Content
Keywords
Agglutination, Rh factor, Canny edge detection
Abstract
Haematological type is a critical step in many medical procedures, but traditional methods of detection are susceptible to human error. A more efficient and error-free approach is to use technology to accurately determine the Rh factor and blood group of a sample. This process involves taking a photo of the sample blood slide and applying algorithms such as grayscale, binary, and canny edge detection to determine agglutination. The procedure is faster and eliminates the possibility of human error, and results from the experiment have been found to be accurate compared to real-time data analysis. The process is simplified and made more precise using numeric values determined from real-time data analysis using a mobile camera.
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AUGUST 26, 2024
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