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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.
In several situations ImLab can be the ideal program to develop new Image Processing algorithms, articles, thesis and dissertations.
List of ImLab Features (Most of them are inherited from the IM library).
 
- General description
- Open source computer vision library in C/C++.
- Optimized and intended for real-time applications.
- OS/hardware/window-manager independent.
- Generic image/video loading, saving, and acquisition.
- Both low and high level API.
- Provides interface to Intel’s Integrated Performance Primitives (IPP) with processor specific optimization (Intel processors).
- Features:
- Image data manipulation (allocation, release, copying, setting, conversion).
- Image and video I/O (file and camera based input, image/video file output).
- Matrix and vector manipulation and linear algebra routines (products, solvers, eigenvalues, SVD).
- Various dynamic data structures (lists, queues, sets, trees, graphs).
- Basic image processing (filtering, edge detection, corner detection, sampling and interpolation, color conversion, morphological operations, histograms, image pyramids).
- Structural analysis (connected components, contour processing, distance transform, various moments, template matching, Hough transform, polygonal approximation, line fitting, ellipse fitting, Delaunay triangulation).
- Camera calibration (finding and tracking calibration patterns, calibration, fundamental matrix estimation, homography estimation, stereo correspondence).
- Motion analysis (optical flow, motion segmentation, tracking).
- Object recognition (eigen-methods, HMM).
- Basic GUI (display image/video, keyboard and mouse handling, scroll-bars).
- Image labeling (line, conic, polygon, text drawing)
Mimas is a C++ real-time computer vision library for GNU/Linux. Mimas is licensed under the GNU LGPL. It is easy to use and includes tools for edge detection, corner detection, various filters, optic flow, tracking, blob analysis, Web cam tools for real-time applications, and much more. It also includes many implementations of traditional algorithms such as the Canny edge detector, Harris and Stephens corner detector and pairwise geometric histograms (PGH).
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