Open Source Linux Image Processing Software - Page 14

Image Processing Software for Linux

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  • 1
    libcrn is document image processing library written in C++11 for Linux, Windows, Mac OsX and Google Android. It is a toolbox that allows to create easily software such as OCRs and layout analysis tools.
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  • 2

    libsombrero

    Astronomical object/structure detection from 1D and 2D data sets.

    Sombrero is a fast wavelet image processing and object detection C library for astronomical images. Sombrero is named after the "Mexican Hat" shape of the wavelet masks used in image convolution and is released under the GNU LGPL library.
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  • 3
    lilliput

    lilliput

    Resize images and animated GIFs in Go

    Lilliput is a lightweight image codec and processing library tailored for environments where performance, portability, and resource efficiency are critical, such as gaming clients, real-time applications, or systems with constrained memory budgets. Designed to support fast decoding and manipulation of common image formats like PNG, JPEG, WebP, and BMP, Lilliput is engineered to minimize dependencies and be easily integrated into a variety of C/C++-based projects without pulling in heavy external libraries. The library provides APIs for scaling, resizing, color conversions, and basic image operations that are crucial for performance-sensitive applications that need to display or transform images on the fly. Discord developed Lilliput to serve its own client rendering needs while reducing binary size and runtime overhead compared to more traditional image libraries, making it well-suited for embedded-like contexts or custom UI engines.
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  • 4
    Linux based e-commerce server. Written entirely in perl, PostgreSQL database backend, page templates with HTML::Mason and image processing with ImageMagick.
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  • 5
    Malic is realtime face recognition system that based on Malib and CSU Face Identification Evaluation System (csuFaceIdEval). Uses Malib library for realtime image processing and some of csuFaceIdEval for face recognition.
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  • 6

    matImage

    An image processing and analysis library for Matlab

    MatImage is a Matlab library for image processing and analysis in 2D and 3D. It contains more than 250 fonctions for image enhancement, filtering, analysis, or visualisation, as well as for creating basic test shapes. It is built as a complement of the Mathworks image processing toolbox (IPT). Project is being transfered to GitHub: http://github.com/dlegland/matImage
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  • 7
    medical image analysis

    medical image analysis

    Libraries and command line tools for medical image processing.

    This software provides libraries and command line tools for the processing and analysis of gray scale medical images.
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  • 8
    mfbdjvu

    mfbdjvu

    Easy converting pgm and ppm to (MASK+FG+BG)-djvu.

    MFBdjvu is a simple project for easy converting pgm and ppm to (MASK+FG+BG)-djvu. It uses djvulibre for all technichal work and compression. The breakdown of the image into components is done using DjVuL and DjVuL wiki. MFBdjvu based of simpledjvu.
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  • 9
    mfbpdf

    mfbpdf

    Easy converting PNM to (MASK+FG+BG)-pdf.

    MFBpdf is a simple project for easy converting PNM to (MASK+FG+BG)-pdf. It uses libtiff and libjpeg for all technichal work and compression. The breakdown of the image into components is done using DjVuL and DjVuL wiki.
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  • 10
    A numerical library designed for n-dimensional image-processing written in Java.
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  • 11
    C++ programs and classes for image-processing related to single-particle electron microscopy
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  • 12

    openSkyMatch

    Matches OpenScience Observatories images with astronomical catalogs

    openSkyMatch is a collection of Linux shell and Python scripts designed for the OpenScience Observatories program. It automates the identification and matching of detected celestial objects in locally captured FITS images with entries in large-scale sky catalogs, notably Pan-STARRS1 DR2 (II/389/ps1_dr2). The toolkit supports data preprocessing, coordinate correlation, and catalog-based validation of astronomical detections. All tools are open-source and optimized for reproducibility and transparency in citizen science astronomy.
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  • 13
    openlpr is a open source project to implement license plate recognition in Win32 and Linux platform. It will provide the basic image processing to locate plate and character split and a neural network design to recognize character.
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  • 14
    palbum is a perl script which turns a directory (or directory hierarchy) full of images into a nice image gallery. It generates thumbnails and index.html files, and requires no configuration. It uses the ubiquitous netpbm library for image processing.
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  • 15
    pdi_lib a collection of digital image processing function implemented as a module for python. The code is written in Pyrex for clarity and speed improvement.
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  • 16
    phpCollect aims to quickly and easily graph, record, and display statistical host data.
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  • 17

    radon-transform-for-java

    Library with a Radon Transform implementation for Java

    There is a RadonTransformExecutor, which can be easily configured for using multithreading. That RadonTransformExecutor invokes the RadonTransformCalculator, and returns a Future<RadonTransformCalculator>. If succeeded, you will get a RadonTransformCalculator object, which includes a RadonTransformResult, which has the Radon Transform, which can be browsed. The shared zip includes the library and an example, which shows how to make the library work in a real case. You can see more information at: https://www.frojasg1.com:8443/downloads_web/web/html/radon.html?origin=sourceforge
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  • 18
    It software decodes EAN-13 bar code picture by image processing. And a GUI is ship together with it, which can take picture from web camera. So the only thing you need to recognise barcode apart you computer is a webcam.
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  • 19
    satellite-image-deep-learning

    satellite-image-deep-learning

    Resources for deep learning with satellite & aerial imagery

    This page lists resources for performing deep learning on satellite imagery. To a lesser extent classical Machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities. If you find this work useful please give it a star and consider sponsoring it. You can also follow me on Twitter and LinkedIn where I aim to post frequent updates on my new discoveries, and I have created a dedicated group on LinkedIn. I have also started a blog here and have published a post on the history of this repository called Dissecting the satellite-image-deep-learning repo.
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  • 20
    scantailor-deviant

    scantailor-deviant

    ScanTailor Deviant - a fork based on Universal and Experimental family

    ScanTailor Deviant - a fork based on Universal and Experimental families of ST .
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  • 21
    scipion-xmipp

    scipion-xmipp

    Image processing framework to integrate EM software packages.

    Scipion is an image processing framework to obtain 3D models of macromolecular complexes using Electron Microscopy (3DEM). It integrates several software packages and presents an unified interface for both biologists and developers. Scipion allows to execute workflows combining different software tools, while taking care of formats and conversions. Additionally, all steps are tracked and can be reproduced later on. Xmipp is a well-known package in the EM image processing. It is integrated into Scipion and contains the algorithms in the core libraries and command line programs.
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  • 22
    This work was a project done in course of the Summer School on Image Processing 2006 (SSIP) in Szeged,Hu. Performs a snake algorithm on 512x512. Image processing tasks are done with OpenCV and the GUI is implemented with Qt4.1.
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  • 23
    RealTime Vision System for Linux using Video4Linux Api, the Qt3.x libraries for the interface and the Vislib (ActiveMedia libraries) for image processing
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  • 24
    threeddonut

    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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  • 25
    tracking.js

    tracking.js

    A modern approach for Computer Vision on the web

    The tracking.js library brings different computer vision algorithms and techniques into the browser environment. By using modern HTML5 specifications, we enable you to do real-time color tracking, face detection and much more, all that with a lightweight core (~7 KB) and intuitive interface. To get started, download the project. This project includes all of the tracking.js examples, source code dependencies you'll need to get started. Unzip the project somewhere on your local drive. The package includes an initial version of the project you'll be working with. While you're working, you'll need a basic HTTP server to serve your pages. Test out the web server by loading the finished version of the project. The main goal of tracking.js is to provide those complex techniques in a simple and intuitive way on the web. We believe computer vision is important to improve people's life, bringing it to the web will make this future a reality a lot faster.
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