Read Image Processing Tensor Transform and Discrete Tomography with MATLAB ®

Ebook Image Processing Tensor Transform and Discrete Tomography with MATLAB ®

Ebook Image Processing Tensor Transform and Discrete Tomography with MATLAB ®

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Book Details :
Published on: 2012-10-15
Released on: 2012-10-15
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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. School of Engineering The University of Kansas Limitation on Enrollment in Engineering Courses. After the fifth day of classes enrollment in a course offered by the school is permissible only with approval of the ... International Journal of Engineering Research and ... International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research .. Machine Learning Group Publications - University of Cambridge Matej Balog Balaji Lakshminarayanan Zoubin Ghahramani Daniel M. Roy and Yee Whye Teh. The Mondrian kernel. In 32nd Conference on Uncertainty in Artificial ... Resolve a DOI Name Type or paste a DOI name into the text box. Click Go. Your browser will take you to a Web page (URL) associated with that DOI name. Send questions or comments to doi ... 79 . TV-IXX__Q: Joo Won reveals his feelings SERSC 2008. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 2009. 1. 2. 3. 4. 5. 6. 7. 8. 1. 2. 3. 4. 5. 6. 7. 8. 9. 1. 2. 3. 4. 5. 1. 2. 3. 4. 5. 6. 1. 2. 3. 4. 5. 6. 7. 1. 2. 3. 4 ... CVonline: Visual Processing Software & Environments CVonline Visual Processing Software & Environments page ... Index by Topic. 3D Data; Camera calibration; Convolutional Neural Networks/Deep Networks - Pre-trained Publications Page - Cambridge Machine Learning Group [ full BibTeX file] 2017 2016. Matej Balog Alexander L. Gaunt Marc Brockschmidt Sebastian Nowozin and Daniel Tarlow. DeepCoder: Learning to write programs. Engineering Graduate School The masters program in Engineering currently offers the following areas of concentration: Biomedical Engineering; Civil Engineering; Electrical and Computer ... Raymond's CV - CUHK Mathematics 1994- Editor Mathematica Numerica Sinica (by Chinese Academy of Sciences) 1995-1998 Editor Bulletin of Hong Kong Mathematical Society (by Gordon- Breach Publishers) Robust principal component analysis? - dl.acm.org Publication years: 2001-2015: Publication count: 24: Citation Count: 1184: Available for download: 2: Downloads (6 Weeks) 250: Downloads (12 Months) 2104: Downloads ...
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