Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659959081 ISBN 13: 9783659959080
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing Okt 2016, 2016
ISBN 10: 3659959081 ISBN 13: 9783659959080
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This work is motivated by the potential and promise of image fusion technologies in the multi-sensor image fusion system. The aim of this research is to focus on multi-sensor pixel level image fusion for medical application due to its significance of medical field. Medical fusion methods are only a possible way that able to combine correlating information of multiple images into a single image to explore the possibility of data reduction and improvement of information density. The dissertation explores the possibility of using Stationary Wavelet approach in image fusion and further optimization using Genetic Algorithm and Particle Swarm Optimization. The comparative analysis of Stationary wavelet transform combined with optimization algorithm has been performed with several sets of computed Tomography (CT) scan and Magnetic Resonance imaging (MRI) images using MATLAB. Improve statistics results are obtained in terms of peak signal to noise ratio (PSNR), entropy, root mean square error (RMSE), edge strength, mutual information.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing Okt 2016, 2016
ISBN 10: 3659959081 ISBN 13: 9783659959080
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 35,90
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work is motivated by the potential and promise of image fusion technologies in the multi-sensor image fusion system. The aim of this research is to focus on multi-sensor pixel level image fusion for medical application due to its significance of medical field. Medical fusion methods are only a possible way that able to combine correlating information of multiple images into a single image to explore the possibility of data reduction and improvement of information density. The dissertation explores the possibility of using Stationary Wavelet approach in image fusion and further optimization using Genetic Algorithm and Particle Swarm Optimization. The comparative analysis of Stationary wavelet transform combined with optimization algorithm has been performed with several sets of computed Tomography (CT) scan and Magnetic Resonance imaging (MRI) images using MATLAB. Improve statistics results are obtained in terms of peak signal to noise ratio (PSNR), entropy, root mean square error (RMSE), edge strength, mutual information. 88 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659959081 ISBN 13: 9783659959080
Librería: moluna, Greven, Alemania
EUR 31,27
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sharma ReechaDr. Reecha Sharma had her Ph.D in Image Processing. She is having ten years of teaching experience. At present she is working as Assistant Professor in Department of ECE, Punjabi University Patiala, India. She has more t.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2016
ISBN 10: 3659959081 ISBN 13: 9783659959080
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 35,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work is motivated by the potential and promise of image fusion technologies in the multi-sensor image fusion system. The aim of this research is to focus on multi-sensor pixel level image fusion for medical application due to its significance of medical field. Medical fusion methods are only a possible way that able to combine correlating information of multiple images into a single image to explore the possibility of data reduction and improvement of information density. The dissertation explores the possibility of using Stationary Wavelet approach in image fusion and further optimization using Genetic Algorithm and Particle Swarm Optimization. The comparative analysis of Stationary wavelet transform combined with optimization algorithm has been performed with several sets of computed Tomography (CT) scan and Magnetic Resonance imaging (MRI) images using MATLAB. Improve statistics results are obtained in terms of peak signal to noise ratio (PSNR), entropy, root mean square error (RMSE), edge strength, mutual information.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2016
ISBN 10: 3659959081 ISBN 13: 9783659959080
Librería: preigu, Osnabrück, Alemania
EUR 32,50
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Medical Image Fusion Based On SWT and Optimization With GA And PSO | Reecha Sharma | Taschenbuch | 88 S. | Englisch | 2016 | LAP Lambert Academic Publishing | EAN 9783659959080 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.