Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
Dr. 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 than 40 papers in International Journals and International Conferences. She had guided 17 M.tech students.
"About this title" may belong to another edition of this title.
Search results for Medical Image Fusion Based On SWT and Optimization...
Seller Image
Medical Image Fusion Based On SWT and Optimization With GA And PSO
Published by
LAP Lambert Academic Publishing Okt 2016, 2016
ISBN 10: 3659959081
ISBN 13: 9783659959080
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783659959080
Buy New
US$ 42.49
US$ 26.43 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available
Stock Image
Medical Image Fusion Based On SWT and Optimization With GA And PSO
Published by
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659959081
ISBN 13: 9783659959080
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 88 pages. 8.66x5.91x0.20 inches. In Stock. Seller Inventory # 3659959081
Buy New
US$ 71.68
US$ 13.24 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Seller Image
Medical Image Fusion Based On SWT and Optimization With GA And PSO
Published by
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659959081
ISBN 13: 9783659959080
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Condition: 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. Seller Inventory # 159148421
Buy New
US$ 37.01
US$ 56.29 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Medical Image Fusion Based On SWT and Optimization With GA And PSO
Published by
LAP Lambert Academic Publishing Okt 2016, 2016
ISBN 10: 3659959081
ISBN 13: 9783659959080
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783659959080
Buy New
US$ 42.49
US$ 68.95 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available
Seller Image
Medical Image Fusion Based On SWT and Optimization With GA And PSO
Published by
LAP Lambert Academic Publishing, 2016
ISBN 10: 3659959081
ISBN 13: 9783659959080
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783659959080
Buy New
US$ 42.49
US$ 69.81 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 1 available