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Multivariate Image Analysis (MIA) Toolbox

Version 1.0.6 of MIA_Toolbox is the current release... see below for change notes.

Multivariate Image Analysis (MIA) toolbox expands the already expansive PLS_Toolbox functionality by including many image-specific functions and builds on PLS_Toolbox interfaces to make analysis of multivariate images simple and intuitive.

With MIA_Toolbox, multivariate images from microscopy to remote sensing can be easily analyzed using the same PLS_Toolbox tools you are already familiar with. MIA_Toolbox allows you to load, manipulate, and analyze multivariate images in the Analysis graphical interface as well as using many of the higher-level command-line functions. Principal components analysis, multivariate curve resolution (ALS and Purity), SIMCA and PLSDA classification, K-Means clustering, and even PLS or PCR regression can all be performed on images with this extension pack. MIA_Toolbox also adds a number of functions which are designed to take advantage of the special "spatial" relationship inherent in a multivariate image including functions like Evolving Window Factor Analysis and Maximal Autocorrelative Factors, and a suite of Texture functions.

MIA_Toolbox includes:

• "Automatic image display" technology to recognize and automatically present appropriate model results in image format.
• Image importing and building functions to make assembly of multivariate images easier.
• Image specific functions including EWFA, MAF, and an image-enhanced Cluster analysis.
• Texture-analysis functions which encode the texture in an image into a vector for pattern or regression analysis.
• Enables most standard PLS_Toolbox functions to work with images.

Release 1.0.5 Now Available

MIA_Toolbox is currently available in Version 1.0.5. This release delivers a number of bug fixes and plotting enhancements along with the use of images in the Purity analysis method.

You can purchase a copy or get a demonstration license from our License Manager.

NOTE: MIA_Toolbox requires PLS_Toolbox Version 4.1 or later. You must upgrade your PLS_Toolbox to Release 4.1 to use MIA_Toolbox. See the MIA_Toolbox Pricelist for other ordering information.

Product Support

Eigenvector Research offers user support for MIA_Toolbox by e-mail at helpdesk@eigenvector.com. Questions are almost always answered within 24 hours (and usually much less). Updates and bug fixes will be available for users to download from our web site. For information on other support options, see our technical support page.

System Requirements

MIA_Toolbox requires PLS_Toolbox version 4.1 or higher and MATLAB 6.5, 7.x or higher. MIA_Toolbox does not require other MATLAB toolboxes. Like most MATLAB toolboxes, MIA_Toolbox is platform independent. It will function on any platform on which MATLAB functions (e.g. MAC, PC, Unix).