Gray Level Co-occurance Matrix for Blood Type Identification

Mawardatun Nisa S ; Mohammad Rofii ; Pramesti Kusumaningtyas
International Journal of Health and Information Te... 📅 2024 Vol 1, No 2
Abstract
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.
 
 
Keywords
Blood Group; Contrast; Correlation; Energy; Homogeneity
How to Cite

Mawardatun Nisa S, et al. (2024). Gray Level Co-occurance Matrix for Blood Type Identification. International Journal of Health and Information Technology, 1(2).

Mawardatun Nisa S; Mohammad Rofii; Pramesti Kusumaningtyas, "Gray Level Co-occurance Matrix for Blood Type Identification," International Journal of Health and Information Technology, vol. 1, no. 2, 2024.

Mawardatun Nisa S; Mohammad Rofii; Pramesti Kusumaningtyas. "Gray Level Co-occurance Matrix for Blood Type Identification." International Journal of Health and Information Technology, vol. 1, no. 2, 2024.

Mawardatun Nisa S; Mohammad Rofii; Pramesti Kusumaningtyas. "Gray Level Co-occurance Matrix for Blood Type Identification." International Journal of Health and Information Technology 1, no. 2 (2024).

Mawardatun Nisa S, et al. (2024) 'Gray Level Co-occurance Matrix for Blood Type Identification', International Journal of Health and Information Technology, 1(2).

Mawardatun Nisa S; Mohammad Rofii; Pramesti Kusumaningtyas. Gray Level Co-occurance Matrix for Blood Type Identification. International Journal of Health and Information Technology. 2024;1(2).

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