Open Source Image Processing Software - Page 20

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.

The original miniGlue is aimed to make a light-weighted Photoshop-style layer management system. We want to make the code as easy as possible, easy to understand. We hope everybody could build his/her own layer-based image processing software on the fly with miniGlue. Then another founder of miniGlue, x2nie, made a bigger vision that miniGlue stands of ready to use visual-components for very fast and easily develop graphic editor under Delphi/Lazarus. It also extendable to your own need.

Implementation of number of image processing algorithms

A numerical library designed for n-dimensional image-processing written in Java.

C++ programs and classes for image-processing related to single-particle electron microscopy

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.

New Python bindings for the popular OpenCV image processing library.

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.

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.

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.

phpCollect aims to quickly and easily graph, record, and display statistical host data.

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

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.

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.

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.

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.

This project contains documentation resources about the Scipion Framework for Image Processing in Electron Microscopy.

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.

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.

RealTime Vision System for Linux using Video4Linux Api, the Qt3.x libraries for the interface and the Vislib (ActiveMedia libraries) for image processing

texture descriptors for image processing...

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.

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.

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.

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).