Debian Science Image analysis development packages

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.

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 the development files.

A multidimensional, type-agnostic image processing library.

It provides an interface-driven design that supports numeric and non- numeric data types (8-bit unsigned integer, 32-bit floating point, etc.) in an extensible way. It implements several data sources and sample organizations, including one single primitive array, one array per plane, N-dimensional array "cells" cached to and from disk on demand, and planes read on demand from disk.

Liblimereg automatically aligns two images with similar content to each other. Given two 2D images the algorithm returns the rigid transformation parameters detected for the best possible alignment (shift, rotation). There are also functions for a rigid image transformation (shift, rotation) and for creating a difference image out of two images.

This package contains the static library and the header file.

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. The package ships development files.

Vision with Generic Algorithms (VIGRA) is a computer vision library that puts its main emphasis on flexible algorithms, because algorithms represent the principle know-how of this field. The library was consequently built using generic programming as introduced by Stepanov and Musser and exemplified in the C++ Standard Template Library. By writing a few adapters (image iterators and accessors) you can use VIGRA's algorithms on top of your data structures, within your environment.

This package contains the header and development files needed to build programs and packages using VIGRA.

VLFeat implements popular computer vision algorithms including MSER, k-means, hierarchical k-means, agglomerative information bottleneck, and quick shift. It is written in C for efficiency and compatibility, with interfaces in GNU octave for ease of use, and detailed documentation throughout

Development files

Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, video, volumetric data, and scientific formats.

This package provides the library for Python 3.

Meshio can read from and write to various data formats representing unstructured meshes, such as DOLFIN, Gmsh, H5M or VTK.

This package provides the modules for Python 3.

Vision with Generic Algorithms (VIGRA) is a computer vision library that puts its main emphasis on flexible algorithms, because algorithms represent the principle know-how of this field. The library was consequently built using generic programming as introduced by Stepanov and Musser and exemplified in the C++ Standard Template Library. By writing a few adapters (image iterators and accessors) you can use VIGRA's algorithms on top of your data structures, within your environment.

This package exports the functionality of the VIGRA library to Python3.

This library implements the functionality required to manage Autodesk's 3D Studio Release 3 and 4 format (.3DS) files.

It is a free alternative to Autodesk's 3DS File Toolkit for managing 3DS files.

This package contains the development files (headers and libs).

FreeImage je projekt open source knižnice jazyka C/C++ pre vývojárov, ktorí by radi podporovali populárne grafické obrazové formáty ako sú PNG, BMP, JPEG, TIFF a ďalšie, ktoré potrebujú moderné multimediálne aplikácie. FreeImage sa jednoducho používa, je rýchly, podporuje použitie vo vláknach a je multiplatformný (funguje na Linuxe, 32-bitových Windows a Mac OS X).

Tento balík obsahuje hlavičkové súbory a statické knižnice potrebné na vývoj programov používajúcich FreeImage.

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.