NDLI: Digital image analysis of cocci bacterial cells using active contour method

Content Provider	IEEE Xplore Digital Library
Author	Hiremath, P.S. Bannigidad, P.
Copyright Year	2010
Description	Author affiliation: Department of Computer Science, Gulbarga University, 585 106, Karnataka, India (Hiremath, P.S.; Bannigidad, P.)
Abstract	The objective of the present study is to develop an automatic tool to identify and classify the different types of cocci bacterial cells in digital microscopic cell images using active contour method. Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Geometric features are used to identify the arrangement of cocci bacterial cells, namely, cocci, diplococci, streptococci, tetrad, sarcinae and staphylococci using 3s, K-NN and Neural Network classifiers. 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 cocci bacterial cell 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. The experimentation is done using SEM digital images of various cocci bacterial communities.
Starting Page	163
Ending Page	168
File Size	457294
Page Count	6
File Format	PDF
ISBN	9781424485956
e-ISBN	9781424485949
DOI	10.1109/ICSIP.2010.5697462
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-15
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sarcinae Shape Segmentation Neural network classifier Diplococci Artificial neural networks Staphylococci Classification algorithms Bacterial image analysis Tetrad Image segmentation Microorganisms Streptococci Microscopy Cell classification 3s classifier Feature extraction Cocci K-NN classifier
Content Type	Text
Resource Type	Article

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