Gray Level Co-occurance Matrix for Blood Type Identification
Keywords:
Blood Group, Contrast, Correlation, Energy, HomogeneityAbstract
Blood type identification is an important step to ensure the safety of blood transfusion. Direct observation of blood samples that have been tested with anti-A and anti-B serum can lead to errors in identification due to lack of accuracy or haste in observing. Recognition of blood type can be determined from different textures of blood samples that have agglutination or non-agglutination. This research proposes the application of the GLCM method to obtain texture characteristics found in blood samples based on statistical values, namely contrast, correlation, energy and homogeneity. The calculation results of the feature values obtained show that the distribution of values tends to be separate for agglutinating and non-agglutinating blood samples. So it can help the classification or identification process to determine blood type.
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