Advances in Computer Vision and Pattern Recognition: Image Reconstruction from Projections

Herman, Gabor T.

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.

Details

Published by: Springer

Publication Date: 2009-09-24

Format: Hardcover

ISBN-13: 9781852336172

DOI: 10.1007/978-1-84628-723-7

Dimensions: 235cm x155cm

Pages: 300