Image Processing

Grigoryan, Artyom M.; Grigoryan, Merughan M.

Editorial: Taylor & Francis Inc
ISBN 10: 1466509945 / ISBN 13: 9781466509948
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Descripción:

2012. 1st Edition. Hardcover. Num Pages: 466 pages, 233 black & white illustrations, 41 black & white tables. BIC Classification: UYT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 240 x 161 x 31. Weight in Grams: 828. . . . . . Books ship from the US and Ireland. N° de ref. de la librería

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Sinopsis:

Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB® introduces novel approaches to help in solving the problem of image reconstruction on the Cartesian lattice. Specifically, it discusses methods of image processing along parallel rays to more quickly and accurately reconstruct images from a finite number of projections, thereby avoiding overradiation of the body during a computed tomography (CT) scan.

The book presents several new ideas, concepts, and methods, many of which have not been published elsewhere. New concepts include methods of transferring the geometry of rays from the plane to the Cartesian lattice, the point map of projections, the particle and its field function, and the statistical model of averaging. The authors supply numerous examples, MATLAB®-based programs, end-of-chapter problems, and experimental results of implementation.

The main approach for image reconstruction proposed by the authors differs from existing methods of back-projection, iterative reconstruction, and Fourier and Radon filtering. In this book, the authors explain how to process each projection by a system of linear equations, or linear convolutions, to calculate the corresponding part of the 2-D tensor or paired transform of the discrete image. They then describe how to calculate the inverse transform to obtain the reconstruction. The proposed models for image reconstruction from projections are simple and result in more accurate reconstructions.

Introducing a new theory and methods of image reconstruction, this book provides a solid grounding for those interested in further research and in obtaining new results. It encourages readers to develop effective applications of these methods in CT.

About the Author:

Artyom M. Grigoryan, Ph.D., is currently an associate professor at the Department of Electrical Engineering, University of Texas at San Antonio. He has authored or co-authored three books, including Brief Notes in Advanced DSP: Fourier Analysis with MATLAB® (2009) and Multidimensional Discrete Unitary Transforms: Representation: Partitioning, and Algorithms (2003) as well as two book chapters and many journal papers. He specializes in the theory and application of fast one- and multi-dimensional Fourier transforms, elliptic Fourier transforms, tensor and paired transforms, integer unitary heap transforms, design of robust linear and nonlinear filters, image encryption, computerized 2-D and 3-D tomography, and processing of biomedical images.

Merughan M. Grigoryan is currently conducting research on the theory and application of quantum mechanics in signal processing, differential equations, Fourier analysis, elliptic Fourier transforms, Hadamard matrices, fast integer unitary transformations, the theory and methods of the fast unitary transforms generated by signals, and methods of encoding in cryptography. He is the coauthor of the book Brief Notes in Advanced DSP: Fourier Analysis with MATLAB® (2009).

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Detalles bibliográficos

Título: Image Processing
Editorial: Taylor & Francis Inc
Condición del libro: New

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1.

Artyom M. Grigoryan
Editorial: CRC Press (2012)
ISBN 10: 1466509945 ISBN 13: 9781466509948
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Descripción CRC Press, 2012. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería FT-9781466509948

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Artyom M. Grigoryan, Merughan M. Grigoryan
Editorial: Taylor Francis Inc, United States (2012)
ISBN 10: 1466509945 ISBN 13: 9781466509948
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Descripción Taylor Francis Inc, United States, 2012. Hardback. Estado de conservación: New. Language: English . Brand New Book. Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB(R) introduces novel approaches to help in solving the problem of image reconstruction on the Cartesian lattice. Specifically, it discusses methods of image processing along parallel rays to more quickly and accurately reconstruct images from a finite number of projections, thereby avoiding overradiation of the body during a computed tomography (CT) scan. The book presents several new ideas, concepts, and methods, many of which have not been published elsewhere. New concepts include methods of transferring the geometry of rays from the plane to the Cartesian lattice, the point map of projections, the particle and its field function, and the statistical model of averaging. The authors supply numerous examples, MATLAB(R)-based programs, end-of-chapter problems, and experimental results of implementation. The main approach for image reconstruction proposed by the authors differs from existing methods of back-projection, iterative reconstruction, and Fourier and Radon filtering. In this book, the authors explain how to process each projection by a system of linear equations, or linear convolutions, to calculate the corresponding part of the 2-D tensor or paired transform of the discrete image. They then describe how to calculate the inverse transform to obtain the reconstruction. The proposed models for image reconstruction from projections are simple and result in more accurate reconstructions. Introducing a new theory and methods of image reconstruction, this book provides a solid grounding for those interested in further research and in obtaining new results. It encourages readers to develop effective applications of these methods in CT. Nº de ref. de la librería AA69781466509948

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Artyom M. Grigoryan, Merughan M. Grigoryan
Editorial: Taylor Francis Inc, United States (2012)
ISBN 10: 1466509945 ISBN 13: 9781466509948
Nuevos Tapa dura Cantidad: 10
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Descripción Taylor Francis Inc, United States, 2012. Hardback. Estado de conservación: New. Language: English . Brand New Book. Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB(R) introduces novel approaches to help in solving the problem of image reconstruction on the Cartesian lattice. Specifically, it discusses methods of image processing along parallel rays to more quickly and accurately reconstruct images from a finite number of projections, thereby avoiding overradiation of the body during a computed tomography (CT) scan. The book presents several new ideas, concepts, and methods, many of which have not been published elsewhere. New concepts include methods of transferring the geometry of rays from the plane to the Cartesian lattice, the point map of projections, the particle and its field function, and the statistical model of averaging. The authors supply numerous examples, MATLAB(R)-based programs, end-of-chapter problems, and experimental results of implementation. The main approach for image reconstruction proposed by the authors differs from existing methods of back-projection, iterative reconstruction, and Fourier and Radon filtering. In this book, the authors explain how to process each projection by a system of linear equations, or linear convolutions, to calculate the corresponding part of the 2-D tensor or paired transform of the discrete image. They then describe how to calculate the inverse transform to obtain the reconstruction. The proposed models for image reconstruction from projections are simple and result in more accurate reconstructions. Introducing a new theory and methods of image reconstruction, this book provides a solid grounding for those interested in further research and in obtaining new results. It encourages readers to develop effective applications of these methods in CT. Nº de ref. de la librería AA69781466509948

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Artyom M. Grigoryan, Merughan M. Grigoryan
Editorial: Taylor & Francis Inc 2012-10-16, Bosa Roca (2012)
ISBN 10: 1466509945 ISBN 13: 9781466509948
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Descripción Taylor & Francis Inc 2012-10-16, Bosa Roca, 2012. hardback. Estado de conservación: New. Nº de ref. de la librería 9781466509948

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Grigoryan, Artyom M.
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Descripción 2012. HRD. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. Nº de ref. de la librería VT-9781466509948

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Artyom M. Grigoryan
Editorial: CRC Press
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Descripción CRC Press. Hardcover. Estado de conservación: New. New copy - Usually dispatched within 2 working days. Nº de ref. de la librería B9781466509948

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GRIGORYAN, ARTYOM M.; GRIGORYAN, MERUGHAN M.
Editorial: CRC Press (2012)
ISBN 10: 1466509945 ISBN 13: 9781466509948
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Descripción CRC Press, 2012. Hardback. Estado de conservación: NEW. 9781466509948 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0181387

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Artyom M. Grigoryan, Merughan M. Grigoryan
Editorial: Taylor Francis Inc, United States (2012)
ISBN 10: 1466509945 ISBN 13: 9781466509948
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Descripción Taylor Francis Inc, United States, 2012. Hardback. Estado de conservación: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB(R) introduces novel approaches to help in solving the problem of image reconstruction on the Cartesian lattice. Specifically, it discusses methods of image processing along parallel rays to more quickly and accurately reconstruct images from a finite number of projections, thereby avoiding overradiation of the body during a computed tomography (CT) scan. The book presents several new ideas, concepts, and methods, many of which have not been published elsewhere. New concepts include methods of transferring the geometry of rays from the plane to the Cartesian lattice, the point map of projections, the particle and its field function, and the statistical model of averaging. The authors supply numerous examples, MATLAB(R)-based programs, end-of-chapter problems, and experimental results of implementation. The main approach for image reconstruction proposed by the authors differs from existing methods of back-projection, iterative reconstruction, and Fourier and Radon filtering. In this book, the authors explain how to process each projection by a system of linear equations, or linear convolutions, to calculate the corresponding part of the 2-D tensor or paired transform of the discrete image. They then describe how to calculate the inverse transform to obtain the reconstruction. The proposed models for image reconstruction from projections are simple and result in more accurate reconstructions. Introducing a new theory and methods of image reconstruction, this book provides a solid grounding for those interested in further research and in obtaining new results. It encourages readers to develop effective applications of these methods in CT. Nº de ref. de la librería BTE9781466509948

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Grigoryan, Artyom M. (Author)/ Grigoryan, Merughan M. (Author)
Editorial: CRC Pr I Llc (2012)
ISBN 10: 1466509945 ISBN 13: 9781466509948
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Descripción CRC Pr I Llc, 2012. Hardcover. Estado de conservación: Brand New. 1st edition. 400 pages. 9.49x6.42x1.22 inches. In Stock. Nº de ref. de la librería __1466509945

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Artyom M. Grigoryan; Merughan M. Grigoryan
Editorial: CRC Press (2012)
ISBN 10: 1466509945 ISBN 13: 9781466509948
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Descripción CRC Press, 2012. Hardcover. Estado de conservación: New. book. Nº de ref. de la librería M1466509945

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