Fundamentals of Computerized Tomography: Image Reconstruction from Projections (Advances in Computer Vision and Pattern Recognition) - Image 1

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Springer Fundamentals of Computerized Tomography: Image Reconstruction from Projections (Advances in Computer Vision and Pattern Recognition)

Name: Fundamentals of Computerized Tomography: Image Reconstruction from Projections (Advances in Computer Vision and Pattern Recognition)
Brand: Springer

98 black & white illustrations, 17 black

Computing & Internet

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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.

Product Specifications

Brand: Springer
Model: 98 black & white illustrations, 17 black
Format: hardcover
ASIN: 185233617X
Category: Books > Subjects > Computing & Internet
Domain: Amazon UK
Release Date: 24 September 2009
Listed Since: 09 October 2005

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Springer Fundamentals of Computerized Tomography: Image Reconstruction from Projections (Advances in Computer Vision and Pattern Recognition)

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