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Parametric based Morphological Transformation for Contrast Enhancement: Contrast enhancement techniques for color images with poor-lightning using morphological transformations - Tapa blanda
Sinopsis
This book mainly focuses on introducing recent advances in the field of image contrast enhancement in image processing.Contrast enhancement problem in digital images can be resolved using various methodologies and Histogram Equalization (HE) based techniques are widely used methods. This text book proposes a new algorithm to minimize over illumination and very much useful in medical image processing. The proposed algorithm is carefully designed to adjust the various aspects of contrast enhancement.The contrast of the multi-background image can be improved by controlling the intensities and increasing the contrast at both darker and brighter parts of the image.The objects in the darker part are visible retaining the information at the brighter part. The proposed algorithm gives visually pleasing and have a natural look with the enhanced images with a level of controllability by adjusting the gray levels from darker to the brighter part of the image. The experimental results show the effectiveness of the proposed algorithm with other methods. This book is very much helpful and useful for graduate, post graduate students and research scholars to gain the knowledge in the field of DIP.
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Reseña del editor
This book mainly focuses on introducing recent advances in the field of image contrast enhancement in image processing.Contrast enhancement problem in digital images can be resolved using various methodologies and Histogram Equalization (HE) based techniques are widely used methods. This text book proposes a new algorithm to minimize over illumination and very much useful in medical image processing. The proposed algorithm is carefully designed to adjust the various aspects of contrast enhancement.The contrast of the multi-background image can be improved by controlling the intensities and increasing the contrast at both darker and brighter parts of the image.The objects in the darker part are visible retaining the information at the brighter part. The proposed algorithm gives visually pleasing and have a natural look with the enhanced images with a level of controllability by adjusting the gray levels from darker to the brighter part of the image. The experimental results show the effectiveness of the proposed algorithm with other methods. This book is very much helpful and useful for graduate, post graduate students and research scholars to gain the knowledge in the field of DIP.
Biografía del autor
Dr.A. Srikrishna received Ph.D from JNTUK, Kakinada in 2010. She has 25 years of teaching experience and has published more than 35 papers.Currently she is working as a Professor and HOD, IT, RVR & JC CE. Principal Investigator for UGC MRP project. Dr.M.Pompapathi received Ph.D from JNTUA, in 2016. G.Srinivas rao received M.Tech from JNTUH in 2010.
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Parametric based Morphological Transformation for Contrast Enhancement
Publicado por
LAP Lambert Academic Publishing Sep 2017, 2017
ISBN 10: 6202013478
ISBN 13: 9786202013475
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book mainly focuses on introducing recent advances in the field of image contrast enhancement in image processing.Contrast enhancement problem in digital images can be resolved using various methodologies and Histogram Equalization (HE) based techniques are widely used methods. This text book proposes a new algorithm to minimize over illumination and very much useful in medical image processing. The proposed algorithm is carefully designed to adjust the various aspects of contrast enhancement.The contrast of the multi-background image can be improved by controlling the intensities and increasing the contrast at both darker and brighter parts of the image.The objects in the darker part are visible retaining the information at the brighter part. The proposed algorithm gives visually pleasing and have a natural look with the enhanced images with a level of controllability by adjusting the gray levels from darker to the brighter part of the image. The experimental results show the effectiveness of the proposed algorithm with other methods. This book is very much helpful and useful for graduate, post graduate students and research scholars to gain the knowledge in the field of DIP. 52 pp. Englisch. Nº de ref. del artículo: 9786202013475
Cantidad disponible: 2 disponibles
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Parametric based Morphological Transformation for Contrast Enhancement : Contrast enhancement techniques for color images with poor-lightning using morphological transformations
Publicado por
LAP Lambert Academic Publishing, 2017
ISBN 10: 6202013478
ISBN 13: 9786202013475
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book mainly focuses on introducing recent advances in the field of image contrast enhancement in image processing.Contrast enhancement problem in digital images can be resolved using various methodologies and Histogram Equalization (HE) based techniques are widely used methods. This text book proposes a new algorithm to minimize over illumination and very much useful in medical image processing. The proposed algorithm is carefully designed to adjust the various aspects of contrast enhancement.The contrast of the multi-background image can be improved by controlling the intensities and increasing the contrast at both darker and brighter parts of the image.The objects in the darker part are visible retaining the information at the brighter part. The proposed algorithm gives visually pleasing and have a natural look with the enhanced images with a level of controllability by adjusting the gray levels from darker to the brighter part of the image. The experimental results show the effectiveness of the proposed algorithm with other methods. This book is very much helpful and useful for graduate, post graduate students and research scholars to gain the knowledge in the field of DIP. Nº de ref. del artículo: 9786202013475
Cantidad disponible: 1 disponibles
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Parametric based Morphological Transformation for Contrast Enhancement
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202013478
ISBN 13: 9786202013475
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Atluri SrikrishnaDr.A. Srikrishna received Ph.D from JNTUK, Kakinada in 2010. She has 25 years of teaching experience and has published more than 35 papers.Currently she is working as a Professor and HOD, IT, RVR & JC CE. Principal I. Nº de ref. del artículo: 166664256
Cantidad disponible: Más de 20 disponibles
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Parametric based Morphological Transformation for Contrast Enhancement: Contrast enhancement techniques for color images with poor-lightning using morphological transformations
Publicado por
LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202013478
ISBN 13: 9786202013475
Nuevo
Paperback
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Nº de ref. del artículo: zk6202013478
Cantidad disponible: 1 disponibles
Imagen del vendedor
Parametric based Morphological Transformation for Contrast Enhancement
Publicado por
LAP Lambert Academic Publishing Sep 2017, 2017
ISBN 10: 6202013478
ISBN 13: 9786202013475
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -This book mainly focuses on introducing recent advances in the field of image contrast enhancement in image processing.Contrast enhancement problem in digital images can be resolved using various methodologies and Histogram Equalization (HE) based techniques are widely used methods. This text book proposes a new algorithm to minimize over illumination and very much useful in medical image processing. The proposed algorithm is carefully designed to adjust the various aspects of contrast enhancement.The contrast of the multi-background image can be improved by controlling the intensities and increasing the contrast at both darker and brighter parts of the image.The objects in the darker part are visible retaining the information at the brighter part. The proposed algorithm gives visually pleasing and have a natural look with the enhanced images with a level of controllability by adjusting the gray levels from darker to the brighter part of the image. The experimental results show the effectiveness of the proposed algorithm with other methods. This book is very much helpful and useful for graduate, post graduate students and research scholars to gain the knowledge in the field of DIP.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. Nº de ref. del artículo: 9786202013475
Cantidad disponible: 2 disponibles