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Proceedings Paper

Automatic classification of bacterial cells in digital microscopic images
Author(s): P. S. Hiremath; Parashuram Bannigidad
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Paper Abstract

The objective of the present study is to develop an automatic tool to identify and classify the bacterial cells in digital microscopic cell images. Geometric features are used to identify the different types of bacterial cells, namely, bacilli, cocci and spiral. The current methods rely on the subjective reading of profiles by a human expert based on the various manual staining methods. In this paper, we propose a method for bacterial classification by segmenting digital bacterial cell images and extracting geometric features for cell classification. The experimental results are compared with the manual results obtained by the microbiology expert and demonstrate the efficacy of the proposed method.

Paper Details

Date Published: 26 February 2010
PDF: 6 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754613 (26 February 2010); doi: 10.1117/12.853303
Show Author Affiliations
P. S. Hiremath, Gulbarga Univ. (India)
Parashuram Bannigidad, Gulbarga Univ. (India)


Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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