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An Implementation of Pixel Based Segmentation and Modified Linear Search Algorithm in Blood Typing Characterization

Our study implemented the process of image segmentation and the application of linear search algorithm to determine human blood type, which resulted in higher rate of efficiency in terms of time and accuracy. The proponent conducted a series of tests to validate that the system can give credible results compared to a series of tests done in the laboratory and performed by a medical practitioner. The researcher used purposive sampling and 30 respondents were clearly identified and chosen. Flowcharts were utilized in which shapes or blocks that represented the functions were connected by flow lines to show the flow and the design of the proposed system. The proposed system provides an alternative to blood typing characterization, which produces faster results of 10-15 minutes compared to the conventional method that produce results in 3-4 hours. The research also concluded that image processing could be used not only in remote sensing or geomantic but also in the medical field.