IMAGE REGISTRATION

The National Library of Medicine Insight Segmentation and Registration Toolkit (ITK). developed by six principal organizations, three academic (UNC Chapel Hill, University of Utah, University of Pennsylvania) and three commercial (GE Corporate R&D, Kitware, and Insightful).

The VTK CISG Registration Toolkit developed by T. Hartkens, CISG, Kings College London.

IMAGE FUSION

Matifus, a Matlab toolbox for 2D image fusion . MATIFUS relies on multiresolution decompositions (a range of such schemes has been incorporated) and various fusion schemes. It accompanies the PhD thesis of Gemma Piella and has been developed concurrently. Matifus is the result of teamwork carried out by Gemma Piella, Henk Heijmans and Paul de Zeeuw. Nitin Gupta and Anand Kumar, at the time students from the Indian Institute of Technology, wrote the graphical user interface. The toolbox includes a manual.

The Generalised Image Fusion Toolkit (GIFT) developed by Daniel Mueller and Peter O'Shea (Queensland University of Technology, Brisbane, Australia) and Anthony Maeder (e-Health Research Centre, CSIRO ICT Centre, Brisbane, Australia). For more information see their paper describing the toolkit.

The Image Fusion Toolbox for Matlab developed by Oliver Rockinger, Metapix.

An extension of The Image Fusion Toolbox for Matlab to fuse images using the dual-tree complex wavelet transform (DT-CWT) developed by Paul Hill and Stavri Nikolov, University of Bristol. For more information about this project contact Stavri Nikolov (stavri.nikolov@bristol.ac.uk). This Matlab code uses the original DT-CWT Matlab code developed by Nick Kingsbury, Cambridge University.

The Image Fusion Toolkit for Matlab developed by Eduardo Canga. For more information about this project contact Eduardo Canga ( e.fernandez-canga@bristol.ac.uk).

A Matlab script for HSV colour fusion, written by Stavri Nikolov, University of Bristol.

Matlab scripts for PCA colour fusion, written by Stavri Nikolov, University of Bristol. For more information about this project contact Stavri Nikolov (stavri.nikolov@bristol.ac.uk) This code uses the principal components analysis (PCA) Matlab code written by Matthew Dailey, University of California, San Diego, USA.

LISQ is a MATLAB toolbox for the lifting scheme on quincunx grids, Copyright (C) 1998-2003 Stichting CWI, Amsterdam, The Netherlands. The collection of functions includes second generation wavelet decomposition and reconstruction tools for images, visualization tools, as well as functions for the computation of moments. The wavelet schemes rely on the lifting scheme of Sweldens and use the splitting of rectangular grids into quincunx grids, also known as red-black ordering. The prediction filters include linear filters (Neville orders of increasing order) as well as a few nonlinear filters which preserve local maxima or minima. LISQ can be downloaded from CWI's web site. There is also an image fusion example described in the report about LISQ.