0
Your cart

Your cart is empty

Books > Computing & IT > General theory of computing > Data structures

Buy Now

High Performance Deformable Image Registration Algorithms for Manycore Processors (Paperback, New) Loot Price: R1,183
Discovery Miles 11 830
High Performance Deformable Image Registration Algorithms for Manycore Processors (Paperback, New): James Shackleford,...

High Performance Deformable Image Registration Algorithms for Manycore Processors (Paperback, New)

James Shackleford, Nagarajan Kandasamy, Gregory Sharp

 (sign in to rate)
Loot Price R1,183 Discovery Miles 11 830 | Repayment Terms: R111 pm x 12*

Bookmark and Share

Expected to ship within 12 - 19 working 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.

This book demonstrates:

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

General

Imprint: Morgan Kaufmann Publishers In
Country of origin: United States
Release date: July 2013
First published: 2014
Authors: James Shackleford • Nagarajan Kandasamy • Gregory Sharp
Dimensions: 229 x 152 x 7mm (L x W x T)
Format: Paperback
Pages: 122
Edition: New
ISBN-13: 978-0-12-407741-6
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > General
Promotions
LSN: 0-12-407741-2
Barcode: 9780124077416

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

You might also like..

Data Abstraction and Problem Solving…
Janet Prichard, Frank Carrano Paperback R2,421 Discovery Miles 24 210
Gamma Solution - An Application of…
James R Warren Hardcover R1,338 R1,131 Discovery Miles 11 310
Coding for Kids in Python - Python…
Bob Mather Hardcover R917 Discovery Miles 9 170
C Programming - C Programming Language…
Adam Dodson Hardcover R598 R542 Discovery Miles 5 420
A Textbook of Data Structures and…
Vijayalakshmi P Hardcover R3,817 Discovery Miles 38 170
Image Analysis, Classification and…
Morton John Canty Paperback R1,540 Discovery Miles 15 400
MATLAB Applications in Engineering
Constantin Volosencu Hardcover R3,310 Discovery Miles 33 100
The Application of Ant Colony…
Ali Soofastaei Hardcover R2,765 Discovery Miles 27 650
Python Programming for Computations…
Computer Language Hardcover R1,216 R1,024 Discovery Miles 10 240
Genetic Algorithms with Python
Clinton Sheppard Hardcover R911 R858 Discovery Miles 8 580
Dual-Pivot Quicksort and Beyond…
Sebastian Wild Hardcover R1,311 Discovery Miles 13 110
The Physics of Computing
Marilyn Wolf Paperback R1,745 Discovery Miles 17 450

See more

Partners