Debian Science Image analysis packages

Gpiv is a Graphic User Interface program using the GTK/GNOME libraries for Particle Image Velocimetry (PIV). The program gives a quick overview of the parameter settings of the processes and allows to change them easy, running the processes, individually or in a chain, visualizes and displays the results. The processes that may be invoked by Gpiv are:

Image processing: typical image manipulations that might be needed for PIV interrogation.

Image interrogation, resulting into estimators of particle image displacements.

Data validation to test on outliers, peak-locking effect and velocity gradients over the interrogation area's.

Data post-processing: data manipulation, spatial and time scaling to obtain a velocity field from the PIV data, calculation of spatial averages, vorticity and strain.

A collection of programs for images that are generated during a Particle Image Velocimetry (PIV) experiment. This is a technique to obtain the velocity field of a fluid flow quantitatively and is performed by tracking tracer particles that have been seeded to a fluid. The technique is also applied for observing deformations at surfaces of (solid) bodies. The package contains:

• an image processing program for typical filtering and manipulation routines that may be convenient for PIV.
• an image interrogation program resulting into estimators of particle image displacements.
• validation programs to test on outliers, peak-locking effect and velocity gradients.
• post-processing programs for data manipulation (flipping, rotation etc), spatial and time scaling, calculation of spatial averages and derivative quantities from the PIV data, like vorticity and strain.
• miscellaneous programs and scripts to perform image format conversion, batch-processing, pipeline processing (image evaluation, validation and post-processing at once), calculation of time averages from a series of PIV data sets, data-visualization and data-manipulation.

All programs start with gpiv_.

This package contains all files used by gpivtools and gpivtools-mpi, like the man pages.

Gwyddion is a modular program for Scanning Probe Microscopy (SPM) data visualization and analysis. It is primarily intended for analysis of height field data obtained by microscopy techniques like

• Atomic Force Microscopy (AFM),
• Magnetic Force Microscopy (MFM),
• Scanning Tunneling Microscopy (STM),
• Near-field Scanning Optical Microscopy (SNOM or NSOM) and others. However, it can be used for arbitrary height field and image analysis.

This package contains the main application and its modules. It also contains a GNOME (and Xfce) thumbnailer which creates previews for all file types known to Gwyddion.

Gwyddion's Python scripting interface Pygwy is also included.

This package provide files for translation from libcv-dev to subdivided packages.

This package contains the header files and static library needed to compile applications that use OpenCV (Open Computer Vision).

The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL (Intel's Image Processing Library) and, if available, can use IPP (Intel's Integrated Performance Primitives) for better performance.

OpenCV provides low level portable data types and operators, and a set of high level functionalities for video acquisition, image processing and analysis, structural analysis, motion analysis and object tracking, object recognition, camera calibration and 3D reconstruction.

Teem is a coordinated group of libraries for representing, processing, and visualizing scientific raster data. Teem includes command-line tools that permit the library functions to be quickly applied to files and streams, without having to write any code. The most important and useful libraries in Teem are:

• Nrrd (and the unu command-line tool on top of it) supports a range of operations for transforming N-dimensional raster data (resample, crop, slice, project, histogram, etc.), as well as the NRRD file format for storing arrays and their meta-information.
• Gage: fast convolution-based measurements at arbitrary point locations in volume datasets (scalar, vector, tensor, etc.)
• Mite: a multi-threaded ray-casting volume render with transfer functions based on any quantity Gage can measure
• Ten: for estimating, processing, and visualizing diffusion tensor fields, including fiber tractography methods.

This package provides the runtime files required to run programs that use Teem to do 3D visualisation.

The CImg Library is a C++ toolkit providing simple classes and functions to load, save, process and display images in your own C++ code. It consists only of a single header file CImg.h that must be included in your program source. It contains useful image processing algorithms for loading/saving, resizing/rotating, filtering, object drawing (text, lines, faces, ellipses, ...), etc.

Images are instantiated by a class able to represent images up to 4-dimension wide (from 1-D scalar signals to 3-D volumes of vector-valued pixels), with template pixel types. It depends on a minimal number of libraries : you can compile it with only standard C libraries. No need for exotic libraries and complex dependencies.

The simage library provides a simplified and uniform interface to many image file format libraries, and it includes internal support for some image file formats too.

SIVP intends to do image and video processing tasks. SIVP is meant to be a useful, efficient, and free image and video processing toolbox for Scilab. Its goals include tasks such as filtering, blurring, edge detection, thresholding, histogram manipulation, segmentation, mathematical morphology, and color image processing.

This package also provides some functions on video processing.

VisAD is a Java component library for interactive and collaborative visualization and analysis of numerical data. The name VisAD is an acronym for "Visualization for Algorithm Development". The system combines:

The use of pure Java for platform independence and to support data sharing and real-time collaboration among geographically distributed users. Support for distributed computing is integrated at the lowest levels of the system using Java RMI distributed objects.

A general mathematical data model that can be adapted to virtually any numerical data, that supports data sharing among different users, different data sources and different scientific disciplines, and that provides transparent access to data independent of storage format and location (i.e., memory, disk or remote). The data model has been adapted to netCDF, HDF-5, FITS, HDF-EOS, McIDAS, Vis5D, GIF, JPEG, TIFF, QuickTime, ASCII and many other file formats.

A general display model that supports interactive 3-D, data fusion, multiple data views, direct manipulation, collaboration, and virtual reality. The display model has been adapted to Java3D and Java2D and used in an ImmersaDesk virtual reality display.

Data analysis and computation integrated with visualization to support computational steering and other complex interaction modes.

Support for two distinct communities: developers who create domain- specific systems based on VisAD, and users of those domain-specific systems. VisAD is designed to support a wide variety of user interfaces, ranging from simple data browser applets to complex applications that allow groups of scientists to collaboratively develop data analysis algorithms.

Developer extensibility in as many ways as possible.