Comparison of K-Means Clustering and Otsu Thresholding Methods in the Detection of Tuberculosis Extra Pulmonary Bacilli in the HSV Color Space

Comparison of K-Means Clustering and Otsu Thresholding Methods in the Detection of Tuberculosis Extra Pulmonary Bacilli in the HSV Color Space

Tuberculosis Extra Pulmonary (TBEP) is an infectious disease caused by the bacterium Mycobacterium tuberculosis and can cause death. Patients suffering from this disease must be treated quickly without waiting long. Currently, anyone who will be detected caused by this bacterium takes a long time an...

Full description

Bibliographic Details
Main Authors: Bob Subhan Riza, Jufriadif Na’am, Sumijan Sumijan
Format: Article
Language:English
Published: Universitas Gadjah Mada 2022-07-01
Series:IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Subjects:
tuberculosis extra pulmonary
k-means
otsu thresholding
hue saturation value (hsv)
segmentation
Online Access:https://jurnal.ugm.ac.id/ijccs/article/view/74531

Internet

https://jurnal.ugm.ac.id/ijccs/article/view/74531

Similar Items