Debian Science Image analysis development packages

CImg biblioteket er en C++-værktøjskasse, som tilbyder simple klasser og funktioner til at indlæse, gemme, behandle og fremvise billeder i din egen C++-kode. Det består blot af en enkelt teksthovedfil CImg.h, som skal inkluderes i dit kildeprogram. Det indeholder nyttige billedbehandlingsalgoritmer til at indlæse/gemme, skalere/rotere, filtrere, objekttegne (tekst, linjer, ansigter, ellipser ...) osv.

Billeder instantieres gennem en klasse som er i stand til at repræsentere billeder i op til 4 dimensioners bredde (fra 1-D skalar-signaler til 3-D volumener af billedpunkter med vektorværdier), med skabelontyper for billedpunkter. Det forudsætter et minimalt antal af biblioteker: Du kan kompilere det kun med standardbiblioteker for C. Intet behov for eksotiske biblioteker og komplekse afhængigheder.

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.

Biblioteket simage tilbyder en forenklet og ensartet grænseflade til mange formatbiblioteker for billedfiler, og den inkluderer også intern understøttelse for nogle billedfilsformater. Pakken indeholder udviklingsfiler.

Vision med generiske algoritmer (VIGRA) er et computervisionbibliotek, som placerer sit hovedfokus på fleksible algoritmer, da algoritmerne repræsenterer den grundlægende viden indenfor dette felt. Biblioteket blev som konsekvent bygget med brug af generisk programmering som introduceret af Stepanov og Musser og eksemplicificeret i C++ Standard Template Library. Ved at skrive nogle få adaptere (billediteratorer og accessorer) kan du bruge VIGRA's algoritmer oven på dine datastrukturer, inden i dit miljø.

Denne pakke indeholder teksthovederne og udviklingsfilerne krævet for at bygge programmer og pakker med brug af 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 kan læse fra og skrive til diverse dataformater, der repræsenterer ustrukturerede mesh'er, såsom DOLFIN, Gmsh, HSM eller VTK.

Denne pakke tilbyder modulerne 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.

Dette bibliotek implementerer funktionaliteten krævet til at håndtere Autodesks 3D Studio Release 3 og 4 format-filer (.3DS).

Det er et frit alternativ til Autodesks 3DS File Toolkit for håndtering af 3DS-filer.

Denne pakke indeholder udviklingsfilerne (teksthoveder og biblioteker).

FreeImage et et C/C++-biblioteksprojekt for udviklere, der ønsker at støtte populære grafiske billedformater såsom PNG, bMP, JPEG, TIFF og andre som krævet af dagens multimedieprogrammer. FreeImage er nemt at bruge, hurtigt, sikker i brugen af flere tråde og udviklet til flere platforme (fungerer både med Linux, 32-bit Windows og Mac OS X).

Denne pakke indeholder teksthovederne og de statiske biblioteker krævet for at udvikle programmer via 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.