Open Source Linux Image Processing Software - Page 11

simple image processing examples using C# libraries http://proxytype.blogspot.com

A small image processing project built on Java. Tracks a coloured object on screen using shots taken by a web cam. v4l4j API's used for working with streams of picture being held by web-cam, hence installation of v4l4j is the solve pre-requisite for the proper functioning. UI components provided for selecting the suitable threshold values of HSI to make the required object trackable.

Build using PHP and MySQL this web based application uses php image processing libraries to give effects to user uploaded images. User can also store images to their respective accounts and also can mail their images.

Since December 2008, UCL-MSSL developed a platform independent stereo application in collaboration with JPL, NASA as a subtask of EU-FP7 PRoViSG. This work was originally proposed for two months of work, but it was rescheduled to run untill August 2011 after realising its synergetic relationship with other UCL tasks within the ProVisG project. Within this time period, UCL delivered consortium members a stereo application (called StereoWS ver. 1.0), which integrates various practical stereo tools into the JPL’s stereo rendering engine (called JADIS). In addition, a part of software (called StView ver.1.0) was ported to a web-based GIS system (e.g., ProGIS) and ProVIP as a solution for stereo visualisation. Apart from the stereo visualisation, some useful stereo tools (e.g., stereo matcher or stereo image processing tools) have been extracted from UCL’s previous development for HRSC data processing, and modified for close-range stereo imagery.

SuperEmbed.js detects embedded videos from YouTube, Vimeo, Vine, VideoPress, DailyMotion, and more on webpages and makes them responsive. Essentially, this means they stretch to fill their container while still maintaining the content's original aspect ratio. I created SuperEmbed to fix all my issues with existing solutions, including (but not limited to) unnecessary reliance on other libraries, bloated code, and poor fallback support.

At present, surface defect equipment based on machine vision has widely replaced artificial visual inspection in various industrial fields, including 3C, automobiles, home appliances, machinery manufacturing, semiconductors and electronics, chemical, pharmaceutical, aerospace, light industry and other industries. Traditional surface defect detection methods based on machine vision often use conventional image processing algorithms or artificially designed features plus classifiers. Generally speaking, imaging schemes are usually designed by using the different properties of the inspected surface or defects. A reasonable imaging scheme helps to obtain images with uniform illumination and clearly reflect the surface defects of the object. In recent years, many defect detection methods based on deep learning have also been widely used in various industrial scenarios.

Astronomical Image Processing

Spotfinder is an image processing software tool for microarray image analisys. It is written on C++ with QT GUI toolkit and runs on Windows, X11, and Mac OSX.

Talon is a a fully automated open-source solution for automated telescope and observatory control. Talon controls all aspects of robotic astronomical observations, including telescope control, dome control, image processing, scheduled operations, and envi

A test suite and benchmark for exact Euclidean distance transform algorithms used in Image Processing and computational geometry. It evaluates the exactness and speed of algorithms for a large number of test cases. Results can be visualized in Scilab.

This project is intended to house classes and utilities for the control of telescopes and for processing of astrographs. In this first installation only a class for modeling rotations SO(3) and its Lie algebra is present. A telescope pointing model and other classes should follow before long. These classes are intended primarily for .Net developers. .Net assemblies are included.

Tigris is an open source suite of classes and programs implemented in C++ for single particle electron microscopic image processing.

C++ library that implements basic data structures and algorithms for computer vision and image processing applications

TRIOS - Training Image Operators from Samples is a set of tools to bring Image Processing closer to scientists in general. It is capable of estimating an operator between two images using only pairs of samples that contain an input image and the desired output. The operator is saved to a file and can be applied to any image.

TurboSphere is an intuitive and easy to learn game engine. It is generally modeled after the Sphere RPG engine for its API, although the API has been modernized. It uses JavaScript as its game logic language, and supports many common file types for resources. TurboSphere uses Google V8 for JavaScript execution and SDL for graphics, audio, input and most other game related functions. It includes a map engine intended for top-down, zelda like games. Other, script based map engines are possible, and several have been implemented for TurboSphere's predecessor, Sphere (like the Majestic Map Engine (http://spheredev.org/smforums/index.php?topic=4496.0)). TurboSphere is largely compatible with the Sphere RPG engine, the main API change is the replacement of object creating functions with proper JavaScript constructors. This means that there are several completed games already made that work with TurboSphere, requiring only a small set of compatibility scripts to function in TurboSphere.

This project aims to development a universal media codecs for video/audio/image processing. It use same interfaces for all codecs. And it target system is embedded system. The codecs will be include: MPEG2, MPEG4, H264, AAC, VC-1, AVS.

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UnbVision is a object oriented API/GUI written in C/C++ for perform several digital image processing algorithms.

UIMP(Unified Image Manipulation Program) is an OS independent Image Processing system, which provides over 1000 algorithms and supports web online, console and GUI program.

VDSI is an extensible (plugins based on OpenCV) image processing application. It allows to draw a flow diagram representing predefined image operations and to solve it.

VIPS is an image processing suite designed for extremely large images and colorimetry. It consists of a powerful re-usable library and a graphical user interface. http://www.vips.ecs.soton.ac.uk

Scalable image processing in C++

An implementation of Bruhn et al.'s fast variational optical flow algorithm using the OpenCV image processing library. The code calculates dense flow fields with a user-specified level of precision.

Uses image processing techniques to count a plate of viral plaque samples.

Enable interaction of users in a 3D environment via use of a webcam and, image processing and motion tracking techniques.