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High Performance Deformable Image Registration Algorithms for Manycore Processors
Learn to develop image processing algorithms for the GPU.
James Shackleford (Author), Nagarajan Kandasamy (Author), Gregory Sharp (Author)
9780124077416
Paperback, published 1 July 2013
122 pages
22.9 x 15.1 x 0.9 cm, 0.21 kg
"…the methods included in this book are explained in great detail. I recommend it to experts in the field of deformable image registration and those with deep knowledge of computing and computer architecture (mainly parallel programming with GPUs)." --ComputingReviews.com, January 2014 "Shackleford, Kandasamy and Sharp develop highly data-parallel deformable image registration algorithms suitable for use on modern multicore processors. Their grid alignment technique and associated data structures reduce the complexity of B-spline registration and can be extended to perform multimodal image registration by utilizing the mutual information similarity metric." --Reference and Research Book News, October 2013
Approx.114 pages
1. Introduction 2. Overview of Image Registration Algorithms 3. Deformable Registration using Optical Flow Methods 4. Uni-Modal B-spline Registration 5. Multi-Modal B-spline Registration 6. Analytic Vector Field Regularization 7. Plastimatch – An Open Source Software Suite for Image Reconstruction and Registration
Subject Areas: Computer vision [UYQV], Computer science [UY], Algorithms & data structures [UMB]
