Debian Science Image analysis packages

Gwyddion ist ein modular aufgebautes Programm zur Visualisierung und Analyse von Daten der Rastersondenmikroskopie (Scanning Probe Microscopy - SPM). Es ist vor allem zur Analyse von Höhenfelddaten gedacht, welche durch Mikroskopietechniken wie

• Rasterkraftmikroskopie (Atomic Force Microscopy - AFM),
• Magnetkraftmikroskopie (Magnetic Force Microscopy - MFM),
• Rastertunnelmikroskopie (Scanning Tunneling Microscopy - STM),
• Optische Rasternahfeldmikroskopie (Near-field Scanning Optical Microscopy - SNOM oder NSOM) oder andere erhalten wurden. Es kann jedoch zur Analyse beliebiger Höhenfeld- und Bilddaten genutzt werden.

Dieses Paket beinhaltet das Hauptprogramm und seine Module. Es umfasst außerdem ein Programm für GNOME (und Xfce), welches Vorschauansichten für alle Gwyddion bekannten Dateitypen erstellt.

libCVD is a very portable and high performance C++ library for computer vision, image, and video processing. The emphasis is on providing simple and efficient image and video handling and high quality implementations of common low-level image processing function. The library is designed in a loosely-coupled manner, so that parts can be used easily in isolation if the whole library is not required. The video grabbing module provides a simple, uniform interface for videos from a variety of sources (live and recorded) and allows easy access to the raw pixel data. Likewise, the image loading/saving module provides simple, uniform interfaces for loading and saving images from bitmaps to 64 bit per channel RGBA images. The image processing routines can be applied easily to images and video, and accelerated versions exist for platforms supporting SSE.

This package contains tools and utilities using libcvd.

Command line application for image registration. Automatically finds an optimal alignment of two input images, that makes both most similar to each other. Outputs the rigid transformation parameters (shift and rotation) and/or the registered (transformed/aligned) image.

Fast algorithm based on analytical derivative based optimization with a multilevel approach and without expensive sparse-matrices.

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 contains some simple command-line tools which provide fast and easy access to the functionality in the various libraries.