Taschenbuch. Condizione: 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. Codice articolo 9783659890321

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A Computational Study on Bacterial Cell Images : Digital Image Processing Techniques

Parashuram Bannigidad

Editore: LAP LAMBERT Academic Publishing, 2016

ISBN 10: 3659890324 ISBN 13: 9783659890321

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Taschenbuch. Condizione: 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. Codice articolo 9783659890321

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A Computational Study on Bacterial Cell Images

Parashuram Bannigidad

Editore: LAP LAMBERT Academic Publishing, 2016

ISBN 10: 3659890324 ISBN 13: 9783659890321

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Condizione: 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. Codice articolo 158248672

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