High Performance Deformable Image Registration Algorithms for Manycore Processors - James Shackleford

Instant online reading.
Don't wait for delivery!
Go digital and save!

High Performance Deformable Image Registration Algorithms for Manycore Processors

By: James Shackleford, Nagarajan Kandasamy, Gregory Sharp

Write A Review

Paperback | 15 July 2013 | Edition Number 1

At a Glance

Paperback
122 Pages

Dimensions(cm)
22.86 x 15.88 x 1.27

Paperback

RRP $93.95

$87.75

or 4 interest-free payments of $21.94 with

Ships in 5 to 7 business days

High Performance Deformable Image Registration Algorithms for Manycore Processors develops highly data-parallel image registration algorithms suitable for use on modern multi-core architectures, including graphics processing units (GPUs). Focusing on deformable registration, we show how to develop data-parallel versions of the registration algorithm suitable for execution on the GPU. Image registration is the process of aligning two or more images into a common coordinate frame and is a fundamental step to be able to compare or fuse data obtained from different sensor measurements. Extracting useful information from 2D/3D data is essential to realizing key technologies underlying our daily lives. Examples include autonomous vehicles and humanoid robots that can recognize and manipulate objects in cluttered environments using stereo vision and laser sensing and medical imaging to localize and diagnose tumors in internal organs using data captured by CT/MRI scans.

Demonstrates how to redesign widely used image registration algorithms so as to best expose the underlying parallelism available in these algorithms
Shows how to pose and implement the parallel versions of the algorithms within the single instruction, multiple data (SIMD) model supported by GPUs
Provides Programming "tricks" that can help readers develop other image processing algorithms, including registration algorithms for the GPU

Industry Reviews

"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 & Research Book News, October 2013

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.