Code Files
Notice on Downloading Code: While every reasonable effort is made to ensure the reliability of this software, VSG code is supplied for general reference only and should not be relied on without further specific inquiry.
VSG Image Processing & Analysis Toolbox (VSG IPA TOOLBOX beta)
The VSG IPA TOOLBOX is a free MATLAB compatible image processing and analysis toolbox which provides high level access to a wide range of image processing and analysis algorithms. This toolbox requires MathWorks' MATLAB 7.1 or later BUT DOES NOT REQUIRE the MathWorks' Image Processing Toolbox.
This software is a BETA release, please report any issues/bugs to VSG IPA Toolbox support
- MATLAB Tutorials
- Matlab Primer
- Matlab Books
- One click install [32 bit executable(.exe)].
- One click install [64 bit executable(.exe)].
- Online Manual.
- API User Documentation [PDF].
For additional information please contact cipa@dcu.ie
NeatVision - Image Analysis & Software Development Environment
NeatVision is a free Java based image analysis and software development environment, which provides high level access to a wide range of image processing algorithms through well defined and easy to use graphical interface. NeatVision is in its second major release. New features include: A full developers guide with method listings and programme examples, DICOM and Analyze medical image sequence viewers, URL control, feature fitting, supervised and unsupervised colour clustering, DCT, Improved FFT, 3D volume processing and surface rendering.
NeatVision contains over 290 image manipulation, processing and analysis algorithms. Users can extend the core NeatVision
library using the developers interface, a plug-in which features, automatic source code generation, compilation with
full error feedback and dynamic algorithm updates. NeatVision is primarily an image processing application and offers
an extensive range of image analysis and visualization tools (these include zoom, pseudo colour, intensity scan, histogram
and 3D profile mesh). In addition, the ability to read and write a wide range of image file formats is supported.
For additional details check out the NeatVision web site or see P.F. Whelan and R.J.T. Sadleir
(2004), "A Visual Programming Environment for Machine Vision Engineers", Sensor Review, 24(3), pp 265-270 [PDF]
NeatMed Medical Imaging Application Developers Interface (API)
The NeatMed Medical Imaging Application Developers Interface (API) was created to facilitate the development of medical imaging applications. It provides straightforward access to medical image encoded according to either the DICOM or Analyze formats. Download the NeatMed Class files.
Sediment Profile Image Analysis
Sediment profile imagery (SPI) is a remote sensing technique that is used for determining whether the marine sediments provide the suitable habitat for benthic (bottom-dwelling) fauna. The SPI technique is based on an inverse periscope that penetrates the seabed and the captured images are analysed in order to evaluate the activity of the resident marine fauna and the overall level of sediment contamination. Although this sediment monitoring technique has been widely used by the marine benthic scientists for several years, SPI analysis is based on a visual qualitative and quantitative evaluation performed by the human operator. Independent tests reveal that this method is affected in terms of sensitivity and reproductibility by the subjectivism of the human operator.
The MRS SPI Analyser software environment developed by the VSG is an image processing tool to interpret the SPI images. The most important feature measure in SPI images is to detect if the sediments contain oxidised layers as they indicate the extent to which marine animals are ventilating the sediment. Although this paper focuses on the detection of oxidised sediments our research interests also include the detection of sediment-water-interface (SWI), to highlight the burrows and voids and the detection of the sediment grain size. MRS has a user-friendly mouse-driven graphical interface that facilitates to access to the image processing operations and displays the results in numerical and visual formats.
Download MRS 2.1 (zip file)
Additional Results / Test Sets
Projective Rectification (zip file) from the Fundamental Matrix (From: John Mallon and Paul F. Whelan (2005), "Projective rectification from the fundamental matrix", Image and Vision Computing, Volume 23, Issue 7 , 1 July 2005, Pages 643-650)
"Adaptive Pre-Filtering Techniques for Colour Image Analysis" IMVIP 2007 colour Images
"Cost-Effective HPC Clustering For Computer Vision Applications - Users Guide" IMVIP08


