Open Source Image Processing Software - Page 20
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Image Processing Software
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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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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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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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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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react-imgpro
Image Processing Component for React
react-imgpro is an image-processing component for React. This component process an image with filters supplied as props and returns a base64 image. I was working on a project last month which involved a lot of image processing and I'd to rely on third party libraries. But before using them directly, I'd to learn different concepts in gl (shaders) and then try to implement them in React. The difficult part was not learning but it was the verbosity, boilerplate code and redundancy introduced by the libraries in the codebase. It was getting difficult to organize all the things. And React's component-based model was perfect for hiding all the implementation details in a component. -
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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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This is a program that demonstrate Image Processing theories. It is not developed anymore, but users free to download and study it as a starting-point to RGB-based Image Processing.
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scikit-image
Image processing in Python
scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image builds on scipy.ndimage to provide a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome! Read about our mission, vision, and values and how we govern the project. Major proposals to the project are documented in SKIPs. The scikit-image community consists of anyone using or working with the project in any way. A community member can become a contributor by interacting directly with the project in concrete ways. -
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scipion-doc
Scipion Documentation Project
This project contains documentation resources about the Scipion Framework for Image Processing in Electron Microscopy. -
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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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sharp
High performance Node.js image processing module
The typical use case for this high speed Node.js module is to convert large images in common formats to smaller, web-friendly JPEG, PNG, AVIF and WebP images of varying dimensions. Resizing an image is typically 4x-5x faster than using the quickest ImageMagick and GraphicsMagick settings due to its use of libvips. Colour spaces, embedded ICC profiles and alpha transparency channels are all handled correctly. Lanczos resampling ensures quality is not sacrificed for speed. As well as image resizing, operations such as rotation, extraction, compositing and gamma correction are available. Most modern macOS, Windows and Linux systems running Node.js v10+ do not require any additional install or runtime dependencies. This module supports reading JPEG, PNG, WebP, AVIF, TIFF, GIF and SVG images. Output images can be in JPEG, PNG, WebP, AVIF and TIFF formats as well as uncompressed raw pixel data. Streams, Buffer objects and the filesystem can be used for input and output. -
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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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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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textureDescriptor
texture descriptors
texture descriptors for image processing... -
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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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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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ucme_compiler
A compiler that automatically generates parallel code
This compiler automatically generates C++, CUDA, MPI, or CUDA/MPI code for parallel processing. The idea is to require only minimal end user knowledge of how the underlying code works. It was originally intended for numerical analysis work, but it also is very applicable for image processing. -
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v-repOpenCVBridge
Use OpenCV2 in v-rep
This v-rep plugin makes it possible to quickly perform OpenCV2 filtering and elaboration on images coming from v-rep vision sensors/cameras. The plugin acts as a v-rep image processing filter. -
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C++ wrapper of the Image Processing component of the Intel Integrated Performance Primitives (IPP). Includes: color and grayscale formats, region of interest (ROI), morphological operators, read/write (PGM and JPEG).
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wxGIPE
wxPython image processing software
Uses GDAL and wxPython to display, process and manipulate satellite imagery. Has Python Command Line embedded to access RS library of functions. -
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x86mph is an optimized library with vector, matrix, and vertex helpers (including an own TnL) It also contains memory helpers, and other stuff such as image processing (color inverting, changing bpp) taking advantage of x86's 3DNow!, MMX, and SSE
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xmipp
Image processing suite for Electron Microscopy
XMIPP is an image processing suite for 3D-reconstruction of biological specimens from transmission electron microscopy data. NOTE that stable releases (including binaries) are longer stored at Sourceforge, but are available at http://xmipp.cnb.csic.es -
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This project contains an open-source implementation of an OPT platform. The 3D-printable components are provided to built your customized sample stage. We offer our open source MATLAB software with an GUI for OPT imaging. We developed a generalized automated workflow including a two-step registration approach for correcting the center of rotation and provide accurate and high-quality 3D reconstruction. *Here we provide the raw tomography videos recorded using the zOPT hardware. *For source codes and more information, please go to https://github.com/Hq-Z/zOPT
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Documentation for the NewXMIPP project. (XMIPP is a suite of image processing programs primarily aimed at obtaining the three-dimensional reconstruction of biological specimens from projection images obtained by transmission electron microscopy)