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2008-04-15 14:23:38
Image Apprentice is a C/C++ based Image Processing Learner’s Toolkit.
Students use it as a companion to their favourite Image Processing
Textbook. It allows one to use self-written image processing algorithms
as plugins.
It comes with a Plugin Development Kit (PDK) that has a skeleton code
having a simple coding style. A student who has attended a 101-level
course in C/C++ programming is well-equipped to write an Image
Processing plugin for Image Apprentice using Visual C++.
AllSeeingI (ASI) is the codename for a computer vision and
visualization framework. It is a visual programming environment for
rapid development and easy reusability.
Editor's Note - This project is just getting started but may be a chance for developers to contribute to a brand new vision system.
Links to the Nottingham video processing environment otherwise known
collectively as CamCap, for camera and video processing work and CLAG,
for command line based image processing/display and prototyping. The
environment is windows based and makes use of DirectShow and the intel
open source computer vision library (OpenCV).
The CImg Library is an open source C++ toolkit for image processing. It
provides simple classes and functions to load, save, process and
display images in your own C++ code. CImg stands for "Cool Image" : It
is simple to use and efficient. It's like a STL for image processing!
Project goal was to create a simple, robust vision system suitable for
real time robotics applications. The system aims to perform global low
level color vision at video rates without the use of special purpose
harware.
One of the primary purposes of the CVIPtools development is to allow
students, faculty, and other researchers to explore the power of
computer processing of digital images.
The newest version of CVIPtools, version 4.3, developed at the Computer
Vision and Image Processing Laboratory at Southern Illinois University
at Edwardsville, under the continuing direction of Dr. Scott E Umbaugh
is currently available with the new textbook, Computer Imaging: Digital
Image Analysis and Processing.
Code for the Edge Detection and Image SegmentatiON system. This system
is a low-level feature extraction tool that integrates confidence based
edge detection and mean shift based image segmentation. It was
developed by the Robust Image Understanding Laboratory at Rutgers
University.
Filters is a library (not an application) implementing image filters and image processing functions.
The Fast Computer Vision and Numerical Library. Gandalf is a C library
designed to support the development of computer vision applications.
Gwyddion is a modular program for SPM (scanning probe microscopy) data
analysis. Primarily it is supposed to be used for analysis of height
fields obtained by means of scanning probe microscopy techniques (AFM,
MFM, STM, NSOM), but generally it can be used for any other height
field analysis or image analysis.
Gluas plus
Gluas is a GIMP plug-in providing a enviroment for testing algorithms
for image processing. The environment contains a simple editor for
entering the algorithms. It uses the lua interpreter.
HornetsEye also is an attempt to trim down the Mimas library and create
a minimalistic and consistent C++/Ruby real-time computer vision
library with an interface to Ruby.
The iLab Neuromorphic Vision C++ Toolkit is a comprehensive set of C++
classes for the development of neuromorphic models of vision.
Neuromorphic models are computational neuroscience algorithms whose
architecture and function is closely inspired from biological brains.
The iLab Neuromorphic Vision C++ Toolkit comprises not only base
classes for images, neurons, and brain areas, but also fully-developed
models such as our model of bottom-up visual attention and of Bayesian
surprise.
Windows and UNIX - The idea behind IM was to create a toolkit that was
not so complex as OpenCV, neither so big as VTK, but that can be used
as a solid base to the development of thesis and dissertations, as for
commercial applications.
ImageJ is a public domain Java image processing program inspired by NIH
Image for the Macintosh. It runs, either as an online applet or as a
downloadable application, on any computer with a Java 1.1 or later
virtual machine. Downloadable distributions are available for Windows,
Mac OS, Mac OS X and Linux.
Editor's Note - This project is geared towards medical image analysis. If you need to analyze image cross-sections, break/create image stacks, then this package is worth some attention!
ImLib3D is a C++ library and visualisation system for 3D image
processing. It contains most basic image processing algorithms, and
some more sophisticated ones. ImLib3D images are STL-compliant
templated containers.
Imalab is a powerful development environment for complex applications
in computer vision. It allows for flexible interactive experimentation
with the vision modules developed in the Prima team, and can be
dynamically extended with new modules. A versatile scripting mechanism
provides for fast and convenient interactive development.
Editor's Note - Most of the documentation is in French.
IMLAB
IMLAB is a free open source graphical application for Scientific Image
Processing that runs in Windows, Linux and many other UNIX systems. It
supports multiple windows, data types including 32 bit integers, 32 bit
real numbers and complex numbers. It is implemented in C++ and also in
C to provide a very simple way to add new functions. It has many image
operations and supports several file formats.
IPL
Intel® Integrated Performance Primitives (Intel® IPP) is a software
library of highly optimized functions for multimedia, audio, video,
speech, computer vision, image and signal processing.
IMPROMPTU
IMPROMPTU, which stands for IMage PROcessing Module for the
Prototyping, Testing, and Utilization of image analysis processes, is a
software package for multi-dimensional image processing. With
IMPROMPTU, a user can construct an arbitrary sequence of operations to
run automatically on an input volume. This sequence, referred to as a
process, can be made up of operations selected from any of several
categories. Each category, which represents one general type of
image-processing operation, contains a number of functions.
Jerry's Java Image Processing Pages. A great way to explore many image processing filters by experimenting with Java applets.
The Java Advanced Imaging API provides a set of object-oriented
interfaces that support a simple, high-level programming model which
lets you manipulate images easily.
MegaWave2 is a free software intended for image processing. It is made
of a C library of modules, that contains original algorithms written by
researchers and a Unix/Linux package designed for the fast
developpement of new image processing algorithms.
This site contains well-tested C code for some basic image processing
operations, along with a description of the functions and some design
methods. A full set of affine transformations (translation, shear,
rotation, scaling) on images of all depths is included, with the
exception that some of the scaling methods do not work at all depths.
There are also implementations of binary morphology, grayscale
morphology, convolution and rank order filters, and applications such
as jbig2 image processing and color quantization.
The LTI-Lib is an object oriented library with algorithms and data
structures frequently used in image processing and computer vision. It
has been developed at the Chair of Technical Computer Science
(Lehrstuhl fuer Technische Informatik) LTI at the Aachen University of
Technology, as part of many research projects in computer vision
dealing with robotics, object recognition and sign language and gesture
recognition.
Lispix is a public domain image analysis program for Microsoft Windows (PC), written and maintained by .
It features a collection of special purpose research tools for electron
microscopy and spectral imaging at NIST. Most of Lispix is written in
Common Lisp.
LuaMat aims to provide a easy to use language to create visual effects
and to modify images. LuaMat is a fast way to use the most popular
algorithms of Image Processing and Computer Vision. As Lua, becoming
the standard for video-game scripting engines, LuaMat is fast and has a
simple syntax.
Mimas was originally conceived as a platform for real-time machine
vision research. Its aim was and still is to reduce the turnaround time
of new research into the application workspace. It is written in C++
and is released in source code form subject to the GNU Lesser General
Public License (LGPL).
Mavis is computer vision software for mobile robots. It's part of an ongoing, group robotics project, called Leaf.
MIRIAD (Multichannel Image Reconstruction, Image Analysis and Display)
is a toolbox, in the form of an environment with a large set of
moderate-sized program which perform individual tasks, involving
calibration, mapping, deconvolution and image analysis of
interferometric data. MIRIAD software is also part of the Hat Creek
telescope control software; data obtained from the telescopes is
directly written into MIRIAD format with a MIRIAD user interface.
Motion is a program that monitors the video signal from one or more
cameras and is able to detect if a significant part of the picture has
changed; in other words, it can detect motion.
tnimage
tnimage is a scientific image analysis program that allows you to
create, edit, analyze, and produce color prints of images. It is
particularly useful for analyzing images of SDS and agarose gels and
X-ray or MRI images.
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.
NIH IMAGE
NIH Image is a public domain image processing and analysis program for
the Macintosh. It was developed at the Research Services Branch (RSB)
of the National Institute of Mental Health (NIMH), part of the National
Institutes of Health (NIH).
Editor's Note - The NIH IMAGE project is similar to ImageJ. In fact they are documented side by side. ImageJ is recommended to be used by PC based users as NIH IMAGE is a Mac based program.
OpenCV is an extensive open-source image processing library, built on
the Intel Image Processing Library (IPL). OpenCV aids commercial uses
of computer vision in human-computer interface, robotics, monitoring,
biometrics and security by providing a free and open infrastructure
where the distributed efforts of the vision community can be
consolidated and performance optimized.
MATLAB and Octave Functions for Computer Vision and Image Processing.
The Projective Vision Toolkit (PVT) is a series of utilities that
allows one to take an image sequence and compute the fundamental matrix
and trilinear tensor.
This can be used for such problems as camera selfcalibration, structure
from motion, camera motion annotation, image stabilization, 3D tracking
and recognition, etc.
RAVL provides a base C++ class library, together with a range of
computer vision, pattern recognition and supporting tools. The aim of
RAVL is to move software developed within the Centre for Vision, Speech
and Signal Processing at the University of Surrey, England for research
purposes into the public domain and to support its use in a wider
community.
Using RoboRealm you can create a low cost vision software solution with
a standard webcam that allows you to explore the very complex world of
image analysis and image processing. Through an easy to use analysis
pipeline you can add image processing filters to translate an image
into robotic movements, computer actions, or just plain fun! RoboRealm
is free to !
RobotVisionCAD or in short RvCAD is a computer aided design for Image
Processing and Computer Vision. RvCAD's GUI presents users with a view
where users drag and drop Image Processor Elements, and visually
connecting them to form Image Processing Pipeline. RvCAD supports
real-time live video processing from VideoForWindow, DirectShow(WDM)
and Video4Linux on linux, compatible capture device.
SPIDER (System for Processing Image Data from Electron microscopy and
Related fields) is an image processing system for electron microscopy.
TINA (TINA Is No Acronym) is an open source environment developed to
accelerate the process of image analysis research. TINA provides
functionality to assist in all areas of image analysis including
handling of image, image feature and geometrical data; statistical and
numerical analysis of data; GUI development as well as transmission and
containment of data. TINA also provides a range of high-level analysis
techniques for both machine vision (3D object location, 2D object
recognition, temporal-stereo depth estimation, etc) and medical image
analysis (MR tissue segmentation, blood flow analysis, etc).
Exploring Tekkotsu Programming on the Sony AIBO. Tekkotsu (see
) is an application development framework for the Sony
AIBO robot dog. ("Tekkotsu" literally means iron bones in Japanese, and
refers to a metal framework, such as the skeleton of a building.) At
its lowest level, Tekkotsu provides primitives for sensory processing,
smooth control of effectors, and event-based communication.
It's a machine vision library, written in simple C++ and based on the
Torch machine-learning library. This package contains Basic image
processing and feature extraction algorithms such as rotation, flip,
photometric normalizations (Histogram Equalization, Multiscale Retinex,
Self-Quotient Image or Gross-Brajovic), edge detection, 2D DCT, 2D FFT,
2D Gabor, PCA to do Eigen-Faces, LDA to do Fisher-Faces
UTHSCSA ImageTool (IT) is a free image processing and analysis program
for Microsoft Windows 9x, Windows ME or Windows NT. IT can acquire,
display, edit, analyze, process, compress, save and print gray scale
and color images.IT can read and write over 22 common file formats
including BMP, PCX, TIF, GIF and JPEG.
VXL (the Vision-something-Libraries) is a collection of C++ libraries
designed for computer vision research and implementation. It was
created from TargetJr and the IUE with the aim of making a light, fast
and consistent system. VXL is written in ANSI/ISO C++ and is designed
to be portable over many platforms. There are libraries covering
numerical algorithms, image processing, co-ordinate systems, camera
geometry, stereo, video manipulation, structure recovery from motion,
probability modelling, GUI design, classification, robust estimation,
feature tracking, topology, structure manipulation, 3d imaging, and
much more.
XMegaWave (XMW) is a freeware graphical windows environment oriented
towards image processing. The development of XMW has been based on the
collaboration between researchers from the University of the Balearic
Islands (Spain), the University of Las Palmas de Gran Canaria (Spain)
and the University of Paris IX Dauphine (France).
XVision provides an application independent set of tools for visual
feature tracking optimized to be simple to configure at the user level,
yet extremely fast to execute.
