Peper Selection Of Suitable Moment Invariant Features For Myco

Please use this identifier to cite or link to this item: http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5346

Title:	Peper Selection Of Suitable Moment Invariant Features For Myco
Authors:	Edi, Victor
Keywords:	Mycobacterium Tuberculosis, region base, skeleton, performance
Issue Date:	Apr-2020
Series/Report no.:	;No. 7890 - 7904
Abstract:	Tuberculosis is a contagious disease between humans and a disease that causes death, this disease is infected by bacteria called Mycobacterium, in this paper comparing the performance of moment invariant features through region base and skeleton, the method used in this study is Hu, Zernike and Affine, and the results obtained, the best Zernike moment invariant in detection Mycobacterium Tuberculosis with above 80%.
Description:	Tuberculosis, also known as TB, is an infectious disease caused by the bacteria called Mycobacterium tuberculosis. The bacteria typically attack the lungs and referred as pulmonary TB (PTB) disease. However, it can also affect other parts of the human body such as lymph nodes, skeletal system, central nervous system, liver and pancreas, resulting in the extra-pulmonary TB (EPTB) disease.
URI:	http://repository.potensi-utama.ac.id/jspui/jspui/handle/123456789/5346
ISSN:	0193-4120
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