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Authors
Affiliations
1 Department of Electronics and Instrumentation Engineering, National Engineering College, IN
2 Department of Electronics and Instrumentation Engineering, National EngineeringNational Engineering College, IN
Source
Biometrics and Bioinformatics, Vol 12, No 1 (2020), Pagination: 11-15
Abstract
Tuberculosis is a terrible, transferrable disease instigated by infection with Mycobacterium tuberculosis bacillus. A common diagnosis of this infection is the microscopic examination of sputum smears of affected persons. Tuberculosis is a disease with one of the most leading causes of deaths in the world, however, its fatality index could be reduced if it is diagnosed and treated on time. The Ziehl-Neelson stained sputum smear method is most used method for bacilli detection and developing a proper diagnosis by the specialist. Detection of tuberculosis involves different stages such as image preprocessing, segmentation, feature extraction and classification. This paper summarizes the study of various techniques of mycobacterium bacillus detection from sputum images.
Keywords
Pre-processing, Segmentation, Feature extraction, Classification, Ziehl-Neelson
