Open Source Linux Image Processing Software - Page 4
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Image Processing Software for Linux
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disser
LaTeX classes and templates for typesetting dissertations in Russian
LaTeX classes, Makefiles and document templates for typesetting dissertations in Russian -
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Open Source Remote Sensing OSSIM project, pronounced "awesome", will leverage existing algorithms/tools/packages from the open source community in construction of the ultimate Remote Sensing/Image Processing/GIS package. osgPlanet extends OSSIM and Op
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flow visualization toolbox
matlab 2D image processing GUI toolbox for flow visualization
A general flow visualization Matlab toolbox for image processing of some common planar/surface visualization techniques from PLIF (Planar laser induce fluorescence) for tracer distribution, BOS (background oriented Schlieren) for density, TSLC (Temperature sensitive liquid crystal) for thermal and PSP (Pressure sensitive paint) pressure distribution measurement. This work is part of author's PhD study, under Dr S. Zhong @ the University of Manchester's supervision, guidance and support. Both GUI and command line interface are provided for newbie and advanced user. Image can be processed into contour image, matlab mat and tecplot data. This toolbox can be conveniently extended for 2D image processing in other disciplines, for example, surface stress measurement, inferred thermograph, PIV. See developer guide for HOWTO. * example project.mat and calib.mat use abs path will not work for you directly. pl. rebuild yours according to my youtube tutorial -
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IMLAB
A Free Experimental System for Image Processing
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. -
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OpenCMISS-Zinc
A Library for Interactive Modelling and Visualisation
The OpenCMISS-Zinc Library (opencmiss.org/zinc), or Zinc, is a software library for building interactive graphical modelling and visualisation applications. Models are represented in Zinc as mathematical fields defined over domains, including finite elements with support for high-order basis functions, complex parameter mappings and time variation, and image-based fields. Further fields can be defined by mathematical expressions and algorithms on existing fields, including image processing filters. Zinc model data structures are dynamic, supporting interactive applications which programmatically create, destroy and modify parts of models. -
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RhinOS
RhinOS, CMS, Content Management System, Josep Sanz Campderrós
RhinOS is a framework to develop web sites using the latest features to provide a fastest access and administration to the web portal. The main features are: - Parametrized CMS and simple and efficient pseudo-code parser. -
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Animal is AN IMAging Library written in C. Its simple API supports over 80 image formats, and is intended to make massive use of other image processing libraries. Animal aims at image analysis and recognition. It is mainly the C basis of the SIP toolbox.
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Astronomy Linux 21.04
This is an open project "Astronomy Linux 21.04" for amateurs
This is an open project "Astronomy Linux" for amateurs. Free distributive designed for astronomy amateurs. This image contains different astronomical programs, for example: planetariums, image processing, astro-hardware control, INDI drivers, etc. ********************************************************************************** WARNING! You can install and use this distribution without any guarantees. We are do NOT responsible for the loss of data from your computer during installation of the distribution, as well as during its testing or/and using! ********************************************************************************** ************************* Do you need any help? ************************* 1. Forum https://groups.google.com/forum/#!forum/astronomy-linux 2. New open project “Astronomy Linux” https://www.cloudynights.com/topic/ 3. FB group https://www.facebook.com/astronomylinux/ -
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LAVA for AFM
Lloyd's Algorithm-based Volumetric Analysis for AFM Images
This MATLAB-based program enables analysis of AFM images. In particular, it allows the user to measure the volume of all distinguishable features in an image and to isolate and sort those particles. As the name implies, LAVA uses Lloyd's Algorithm, also known as k-means sorting, to identify a small set of volumes representative of the actual distribution of particle in the image. Although developed for determining feature volume, LAVA is also completely compatible with other types of image analysis, such as fluorescence intensity. Work is in progress to provide three-channel functionality, allowing comparison of relative intensity of red, green, and blue channels in multi-color images. -
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SIET, the Simple Image Editing ( Editor ) Tool, is a simple-to-use, handy and free application for such tasks as resizing, cropping, retouching, watermarking, etc... Batch processing is also provided. Because is OS Independent, written in an interpreted language, SIET can run on any platform that has a java virtual machine available. Tested on: Windows 7, Windows XP, Linux Ubuntu, Linux Mint.
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AudeLA is a TCL extension aimed at providing amateur astronomers with image processing, telescope controling, ccd camera driving, and various astronomical algorithms. Web site : https://sourceforge.net/p/audela/wiki/fr_accueil Web site : https://sourceforge.net/p/audela/wiki/en_welcome
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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. HOME @ http://rsb.info.nih.gov/ij/
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LTI-Lib is an object oriented computer vision library written in C++ for Windows/MS-VC++ and Linux/gcc. It provides lots of functionality to solve mathematical problems, many image processing algorithms, some classification tools and much more...
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OpenPR stands for Open Pattern Recognition project and is intended to be an open source library for algorithms of image processing, computer vision, natural language processing, pattern recognition, machine learning and the related fields.
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OpenVL is a framework for handling, processing & visualizing volumetric data (CT, MRI etc). It provides: powerful data access & layout API, plugins for volume processing tasks (image processing, segmentation etc), and support for multiple file-formats.
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ResIL
Resilient Image Library - successor to DevIL
ResIL is a library to open, store and manipulate images, with a focus on security. ResIL offers a simple API for these operations. ResIL also receives frequent updates to keep up with the evolution of the supported file formats. It started as a fork of DevIL but much of the code base has actually been rewritten to enhance stability. Support for webp and heic has been added. ResIL focuses on robust decoding so that even partially corrupted images can be displayed without crashes or exceptions. -
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threeddonut
3D donut. Example of frojasg1.com libraries usage
The application shows a 3D donut, that can be rotated with two sliders in both axis. It is a simple example of what can be done with frojasg1.com platform libraries: - Zoom option for components - Multi language - Dark mode option - Automatic Undo-Redo for text components, with popup menu included - Text Search/Replace window prepared to be used. - Base components for auto-completion windows. - Automatic component relocation after redimensioning a window. - Base classes for formating text on the fly in JTextPanes - Improved JFileChooser and other functions: - Basic functions of all kind. - Accurate image resizing. - Function to process images. - Classes to easy the xml file management (without validation) - JDK-17 compatibility You will find more about it at this web site: https://www.frojasg1.com:8443/downloads_web/web/html/donut.html?origin=sourceforge -
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EMGU Face Recognition
Using EMGU to perform Principle Component Analysis (PCA)
This article is designed to be the first in several to explain the use of the EMGU image processing wrapper. For more information on the EMGU wrapper please visit the EMGU website. You will start with 3 warnings for the references not being found. Expand the References folder within the solution explorer delete the 3 with yellow warning icons and Add fresh references to them. Face Recognition has always been a popular subject for image processing and this article builds upon the good work by Sergio Andrés Gutiérrez Rojas and his original article (codeproject). The reason that face recognition is so popular is not only it’s real world application but also the common use of principle component analysis (PCA). PCA is an ideal method for recognising statistical patterns in data. The popularity of face recognition is the fact a user can apply a method easily and see if it is working without needing to know to much about how the process is working. -
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ProStack
ProStack - a platform for image processing and analysis
ProStack - a platform for image processing and analysis. It implements various image processing methods as separate modules, that can be joined in a complex image processing scenario by use of a graphical user interface. RPMs are available at https://build.opensuse.org/project/repositories/home:mackoel:compbio -
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ADAMS
ADAMS is a workflow engine for building complex knowledge workflows.
ADAMS is a flexible workflow engine aimed at quickly building and maintaining data-driven, reactive workflows, easily integrated into business processes. Instead of placing operators on a canvas and manually connecting them, a tree structure and flow control operators determine how data is processed (sequentially/parallel). This allows rapid development and easy maintenance of large workflows, with hundreds or thousands of operators. Operators include machine learning (WEKA, MOA, MEKA) and image processing (ImageJ, JAI, BoofCV, LIRE and Gnuplot). R available using Rserve. WEKA webservice allows other frameworks to use WEKA models. Fast prototyping with Groovy and Jython. Read/write support for various databases and spreadsheet applications. -
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An IDE for people interested in Machine Vision/Image Processing. Written in Java, using JAI. It allows users to view image data and also provides a drag and drop environment that users can create/execute graphs of JAI operators.
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OpenReco
Open-source photogrammetry for 3D reconstruction.
OpenReco is an open-source photogrammetry and reality-capture platform designed to turn photographs into accurate 3D models, dense point clouds, textured meshes, DEMs, and orthomosaics. Built for researchers, drone operators, surveyors, developers, hobbyists, and digital artists, OpenReco aims to provide a transparent and extensible alternative to proprietary photogrammetry software. The project focuses on ease of use, performance, and reproducible workflows while embracing the open-source ecosystem. OpenReco supports image alignment, camera calibration, sparse and dense reconstruction, mesh generation, texturing, and export to common formats. Whether you're reconstructing archaeological sites, creating digital twins, generating terrain models, or building assets for games and visualization, OpenReco provides a powerful foundation without licensing restrictions. -
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QVision: Computer Vision Library for Qt
Computer vision and image processing library for Qt.
This library contains among other things a set of graphical widgets for video output, performance evaluation and augmented reality. The library also provides classes for several data types usually required by computer vision and image processing applications such as vectors, matrices, quaternions and images. Thanks to a large number of wrapper functions these objects can be used with highly efficient functionality from third party libraries such as OpenCV, GNU Scientific Library, Computational Geometry Algorithms Library, Intel's Math Kernel Library and Integrated Performance Primitives, the Octave library, etc... -
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S2CBench
Synthesizable SystemC Benchmark Suite
S2CBench v.2.0 provides 18 programs written in synthesizable SystemC language. Each benchmark is designed for specific domains such as multimedia, digital signal processing, security, image processing, etc. The programs are provided with the objective to enable researchers analyze their innovative algorithms and techniques and help users compare the quality of results of state of the art commercial High Level Synthesis tools available in industry. You can log in to our Youtube channel to watch some videos about S2CBench and SystemC in general www.youtube.com/DARClabify or visit our labs web page at www.utdallas.edu/~schaferb/darclab To know more about the designs and why they were included in the benchmark suite you can read the following academic paper: B. Carrion Schafer and A. Mahapatra, "S2CBench:Synthesizable SystemC Benchmark Suite for High-Level Synthesis ", IEEE Embedded Systems Letters, 2014 -
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TraceX
MatLab App for calculating fitting isotopic exchange profile data
MatLab App for calculating fitting isotopic exchange profile data. Developed for measuring self-diffusivity and effective surface exchange coefficient of ion conducting materials. Requires MatLab image processing toolbox If you use this tool for you research, please cite my PhD thesis: Cooper, S. J. Quantifying the Transport Properties of Solid Oxide Fuel Cell Electrodes. (Imperial College London, 2015). @phdthesis{SJCooper2015, author = {Cooper, S. J.}, number = {November}, publisher = {Imperial College London}, school = {Imperial College London}, title = {{Quantifying the Transport Properties of Solid Oxide Fuel Cell Electrodes}}, year = {2015} }
