Fundamentals of Computerized Tomography: Image Reconstruction from Projections (Advances in Pattern Recognition)

Description for Fundamentals of Computerized Tomography Image Reconstruction from Projections Advances in Pattern Recognition

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Gabor T. Herman, quot;Fundamentals of Computerized Tomography: Image Reconstruction from Projections (Advances in Pattern Recognition)quot;
Springer; 2nd edition (October 2, 2009) | English | 185233617X | 300 pages | PDF | 117.28 MB
This revised and updated text presents the computational and mathematical procedures underlying data collection, image reconstruction, and image display in computerized tomography. New topics: the fast calculation of a ray sum for a digitized picture, the task-oriented comparison of reconstruction algorithm performance, blob basis functions and the linogram method for image reconstruction.
Features: Describes how projection data are obtained and the resulting reconstructions are used; Presents a comparative evaluation of reconstruction methods; Investigates reconstruction algorithms; Explores basis functions, functions to be optimized, norms, generalized inverses, least squares solutions, maximum entropy solutions, and most likely estimates; Discusses SNARK09, a large programming system for image reconstruction; Concludes each chapter with helpful Notes and References sections.
An excellent guide for practitioners, it can also serve as a textbook for an introductory graduate course.


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