9781930934276-1930934270-The ITK Software Guide Book 1: Introduction and Development Guidelines

The ITK Software Guide Book 1: Introduction and Development Guidelines

ISBN-13: 9781930934276
ISBN-10: 1930934270
Edition: ITK 4.7
Author: Luis Ibanez, Hans J. Johnson, Matthew M. McCormick
Publication date: 2015
Publisher: Kitware, Incorporated
Format: Paperback 248 pages
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Book details

ISBN-13: 9781930934276
ISBN-10: 1930934270
Edition: ITK 4.7
Author: Luis Ibanez, Hans J. Johnson, Matthew M. McCormick
Publication date: 2015
Publisher: Kitware, Incorporated
Format: Paperback 248 pages

Summary

The ITK Software Guide Book 1: Introduction and Development Guidelines (ISBN-13: 9781930934276 and ISBN-10: 1930934270), written by authors Luis Ibanez, Hans J. Johnson, Matthew M. McCormick, was published by Kitware, Incorporated in 2015. With an overall rating of 4.4 stars, it's a notable title among other books. You can easily purchase or rent The ITK Software Guide Book 1: Introduction and Development Guidelines (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.42.

Description

The ITK Software Guide is divided into two books. This first book provides a general introduction to ITK including instructions for building and installing ITK; introduces the general architecture and design as well as basic system concepts; and explains how to create your own classes, extend the system, and be an active participant in the open-source ITK community. This book is the companion to The ITK Software Guide Book 2: Design and Functionality. ITK is an open-source, cross-platform software toolkit that provides an extensive suite of tools for image analysis. For over a decade, researchers and developers around the world have processed their MRI, CT, ultrasound, PET, fluoroscopy, and microscopy data with ITK. Developed through extreme programming methodologies, ITK employs leading-edge algorithms for registering and segmenting multidimensional data.

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