26 February 2010 Automatic classification of bacterial cells in digital microscopic images
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Proceedings Volume 7546, Second International Conference on Digital Image Processing; 754613 (2010) https://doi.org/10.1117/12.853303
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
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.
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P. S. Hiremath, P. S. Hiremath, Parashuram Bannigidad, Parashuram Bannigidad, } "Automatic classification of bacterial cells in digital microscopic images", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754613 (26 February 2010); doi: 10.1117/12.853303; https://doi.org/10.1117/12.853303
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