Awesome
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
- 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.