MatImage is a Matlab library for analysis and processing of digital images. It contains functions for processing, analysis, and exploration of 2D, 3D, grayscale or color images. It is built as a complement to the Image Processing Toolbox (IPT), and provides additional features as well as integration of IPT functions into more elaborate functions.

Official homepage for the MatImage project is http://github.com/mattools/matImage. A user manual is available. A wiki is also provided in the MatImage wiki (work in progress...).

Installation

To install the library, with all sub-directories, run the script 'installMatImage.m'. This will add all required directories to the current path variable.

Some functions need the "MatGeom" library, also available on GitHub (http://github.com/mattools/matGeom)

Library organization

The library is organised into several modules.

• imFilters - Image filtering (smooth, enhance, gradient...)
• imMeasures - Measurement of various parameters in digital images
• imStacks - Functions for manipulation and display of 3D images. Contains also the functions "readstack" and "savestack" for import/export of 3D image data.
• imRegions - Processing and analysis of regions within 2D/3D label maps
• imMinkowski - Geometric measures (Surface area, Perimeter...) in 2D or 3D
• imGeodesics - Geodesic distance transform for 2D/3D binary images
• imGranulometry - Computation of gray-level granulometry curves with mathematical morphology
• imShapes - Generation of phantom images representing geometric shapes

A more specific help is provided in each module directory.