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Synopsis
The book deals with the studies relating to the analysis of images of various bacterial cells, for Gram-staining characterization, identification, classification and cell growth phase analysis and cell division time determination. Several segmentation techniques, namely, color segmentation, edge-based segmentation, thresholding and active contour segmentations, have been used. The geometric features for cell regions are extracted. Different classification techniques, namely, 3, K-NN, Neural Network, fuzzy and neuro-fuzzy classifiers, are used for automatic Gram-characterization, identification and classification of bacterial cells images, which assists the microbiologists for faster, proper diagnosis and treatment of the various diseases. These research contributions are expected to be useful for the design and development of software tools to support biologists and clinicians in their analysis procedures and for implementing the same in automated diagnostic systems. The aspects of bacterial cell growth phase and cell division time determination is useful for automatic drug susceptibility tests conducted during drug design for effective control of disease caused by the bacteria.
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About the Author
Dr. Parashuram Bannigidad, Assistant Professor, Dept. of Computer Science, Rani Channamma University, Belagavi, Karnataka, India. Specialized in Image Processing,Pattern Recognition & Bio-Medical. Published 30 research papers and awarded ‘Young Scientist’ from VGST, Govt. of Karnataka. He has Completed 03 research projects funded by VGST and UGC.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2016
- ISBN 10 3659890324
- ISBN 13 9783659890321
- BindingPaperback
- LanguageEnglish
- Number of pages148
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A Computational Study on Bacterial Cell Images
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LAP LAMBERT Academic Publishing Mai 2016, 2016
ISBN 10: 3659890324
ISBN 13: 9783659890321
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book deals with the studies relating to the analysis of images of various bacterial cells, for Gram-staining characterization, identification, classification and cell growth phase analysis and cell division time determination. Several segmentation techniques, namely, color segmentation, edge-based segmentation, thresholding and active contour segmentations, have been used. The geometric features for cell regions are extracted. Different classification techniques, namely, 3 , K-NN, Neural Network, fuzzy and neuro-fuzzy classifiers, are used for automatic Gram-characterization, identification and classification of bacterial cells images, which assists the microbiologists for faster, proper diagnosis and treatment of the various diseases. These research contributions are expected to be useful for the design and development of software tools to support biologists and clinicians in their analysis procedures and for implementing the same in automated diagnostic systems. The aspects of bacterial cell growth phase and cell division time determination is useful for automatic drug susceptibility tests conducted during drug design for effective control of disease caused by the bacteria. 148 pp. Englisch. Seller Inventory # 9783659890321
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A Computational Study on Bacterial Cell Images : Digital Image Processing Techniques
Published by
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659890324
ISBN 13: 9783659890321
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Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book deals with the studies relating to the analysis of images of various bacterial cells, for Gram-staining characterization, identification, classification and cell growth phase analysis and cell division time determination. Several segmentation techniques, namely, color segmentation, edge-based segmentation, thresholding and active contour segmentations, have been used. The geometric features for cell regions are extracted. Different classification techniques, namely, 3 , K-NN, Neural Network, fuzzy and neuro-fuzzy classifiers, are used for automatic Gram-characterization, identification and classification of bacterial cells images, which assists the microbiologists for faster, proper diagnosis and treatment of the various diseases. These research contributions are expected to be useful for the design and development of software tools to support biologists and clinicians in their analysis procedures and for implementing the same in automated diagnostic systems. The aspects of bacterial cell growth phase and cell division time determination is useful for automatic drug susceptibility tests conducted during drug design for effective control of disease caused by the bacteria. Seller Inventory # 9783659890321
Quantity: 1 available
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A Computational Study on Bacterial Cell Images
Published by
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659890324
ISBN 13: 9783659890321
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bannigidad ParashuramDr. Parashuram Bannigidad, Assistant Professor, Dept. of Computer Science, Rani Channamma University, Belagavi, Karnataka, India. Specialized in Image Processing,Pattern Recognition & Bio-Medical. Published 30 re. Seller Inventory # 158248672
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A Computational Study on Bacterial Cell Images: Digital Image Processing Techniques
Published by
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659890324
ISBN 13: 9783659890321
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Seller: Revaluation Books, Exeter, United Kingdom
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Paperback. Condition: Brand New. 148 pages. 8.66x5.91x0.34 inches. In Stock. Seller Inventory # 3659890324
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