Cart (Loading....) | Create Account
Close category search window

The identification of complex objects from NMR images by genetic algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Coley, D.A. ; Dept. of Phys., Exeter Univ., UK ; Bunting, U.

Extracting useful information from three dimensional nuclear magnetic resonance (NMR) images usually requires some form of explicit information about the object one is trying to visualise. This knowledge can either be in the form of a computer based identification method, such as edge identification, or can rely on human inspection, of either two dimensional slices, or three dimensional images stripped back with the aid of paint packages. The method considered represents an attempt to construct an automated process for the identification of such objects by using a genetic algorithm (GA). The method has proved successful and has been tested on several problems including the location and visualisation of three dimensional objects from three dimensional images of animal tissue

Published in:

Genetic Algorithms in Image Processing and Vision, IEE Colloquium on

Date of Conference:


Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.