Abstract
Great knowledge and experience on microbiology are required for accurate bacteria identification. Automation of bacteria identification is required because there might be a shortage of skilled microbiologists and clinicians at a time of great need. There have been several attempts to perform automatic background identification. This paper reviews state-of-the-art automatic bacteria identification techniques. This paper also provides discussion on limitations of state-of-the-art automatic bacteria identification systems and recommends future direction of automatic bacteria identification.
Cite
CITATION STYLE
Mohamad, A., A.Jusoh, N., Htike, Z. Z., & Lei Win, S. (2014). Advances in Prokaryote Classification from Microscopic Images. Electrical & Computer Engineering: An International Journal, 3(2), 13–24. https://doi.org/10.14810/ecij.2014.3202
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