Open Source Linux Image Processing Software - Page 10

Libraries for rapid development of Augmented Environment / Reality systems. Cross-platform, though hardware interfacing is currently provided mainly for Windows. Provides encapsulated video capture, image processing, multi-threading and OpenGL renderer.

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.

OpenPollution is an open distributed system based on CORBA providing air-pollution measurement, data mining and image processing. It uses C++ and Java languages. and supports heterogenous systems such as Linux, Windows, and Windows CE.

A lightweight PHP implementation of Don Park's original identicon code for visual representation of MD5 hash values. The program uses the standard PHP GD library for image processing.

Image processing tool that encodes pixel data as indices within the first 16.7 million digits of PI (π). Features high-performance Numba-accelerated search and a signature 'film-grain' aesthetic upon reconstruction. ZIP also include 16 MB file with 16,7 mil numbers of PI Benchmark(Single-Thread): Hardware & Environment Apple Silicon: Apple M2 (Mac mini/MacBook) x86_64 Platform: Intel Core Ultra 5 225F (Arrow Lake, 10 Cores) OS 1: Fedora 43 (GNOME) OS 2: Windows 11 Pro (23H2/24H2) Software: Python 3.14.3 + Numba JIT (latest) Results (Lower is better) Platform / OS CPU Time (Seconds) macOS (Native) Apple M2 52.151311 s (in default setup) Fedora Linux Intel Core Ultra 5 225F 58.536457 s (in default Power Management: Balanced) Windows 11 Intel Core Ultra 5 225F 59.681427 s (important! Power Management set as High Performance .. in Balanced is slow)

PIAF (Prototype Image Applications Fast) is a prototyping tool for helping development of image processing algorithms. Based on a Qt GUI, it can display and process several live video inputs or still images with a plugins based architecture.

This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). The code is extremely compact. Minimizing code length is a major goal. As a result, the core of the algorithms can be easily spotted. Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). Usually, functions in this package are orders faster than Matlab builtin ones (e.g. kmeans). Many tricks for numerical stability are applied, such as computing probability in logrithm domain, square root matrix update to enforce matrix symmetry.

PicBook automatically produces a photo album in HTML format of your images. It come with automatic image processing, slideshow, transition effects and other nifty stuff. It is easy to customise due to a configuration file and HTML-templates.

Application for building web photo albums. Features: FTP Browser, Exif viewer, Thumbnail and Image processing, HTML generation, CSS styles, slideshow (Javascript or JavaFX). Just build your gallery and upload. You won't need Ruby on the server.

Pink is an image processing library developed at ESIEE Engineering for research and teaching purposes. It contains implementations of over 200 algorithms for image segmentation and filtering.

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

Ada projects - for educational purposes. Each is a small project illustrating a particular tool, technique. Ada is the primary language but will touch upon Qt, Networking, Image processing and so on.

Prolog Image Processing is a (initially) MacOS based extension to OpenProlog which allows to use image processing function in the context of Prolog.

this is a painter app based on qt Graphics View Framework, and now it is version 1.2, hopefully i will implement all functionality with February.

Quantum Mechanical Toolkit And 3D Viewer for C++. Allows Data Visualisation via Images, Surfaces and Volume plots using OpenGL, as well as rapid development Quantum Mechanical Simulations. Uses the Blitz++, VTK Visualisation and Qt Libraries.

RAT is a software for advanced image processing of SAR (Synthetic Aperture Radar) remote sensing data.

Moved to: http://github.com/MIC-DKFZ/RTTB RTToolbox is a software library, developed at the DKFZ to support quantitative analysis of treatment outcome for radiotherapy. The RTToolbox was designed following object-oriented design principles and was implemented in the language C++. It supports the import of radiotherapy data (e.g. dose distributions and structure sets) from DICOM-RT format and other standard image processing formats by using a bridge to ITK. The RTToolbox supports the full range of radiotherapy evaluation. Tools such as DVH calculation, arithmetic operations on dose distributions and structure relationship analysis are provided as a basis for further calculations. Dose comparison indices such as Conformity Index (CI), Homogeneity Index (HI) and Conformation Number (CN), and biological models including TCP, NTCP, EUD and BED are determined from dose distributions and DVHs. The RTToolbox can be easily extended to support other data format, comparison indices and

RasterPS allows to process digital Images. The common Image File Formats are supported. Fundamental Functions like Histogram, Conversion, Point Operations, Filtering, geometric Transformations and Image Analysis are implemented. A basic Image Manager retrieves file attributes from digital images.

ResIL started as a fork of DevIL and is actively maintained to use up-to-date libraries. The API has been updated to work with several threads. Countless fixes have been applied, much of the code base has actually been rewritten to enhance stability. Support for webp has been added. ResIL focuses on robust decoding so that even partially corrupted images can be displayed without crashes or exceptions.

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.

Update: A graphical user interface for RootAnalyzer, along with other root phenotyping tools can now be found at https://sourceforge.net/projects/rootphenotypingsuite/ RootAnalyzer is a fully automated tool, for efficiently extracting and analyzing anatomical traits from root cross section images. Using a range of image processing techniques such as local thresholding and nearest neighbor identification, RootAnalyzer segments the plant root from the image's background, classifies and characterizes the cortex, stele, endodermis and metaxylem, and subsequently produces statistics about the morphological properties of the root cells and tissues.

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

SImg is astronomical image processing software for Linux. Some of the features are deconvolution (various algorithms), removing interferences, automatic shifting of images, computation of PSF and and a visualization tool.