Open Source Linux Image Processing Software - Page 8

A project being an introduction to fuzzy pattern recognition. This is only fuzzy image segmentation, together with an image processing pipeline to operate on colour images.

GENIAL is a C++ library for signal and image processing. It uses template-generic techniques, multi threading, cache optimization and SIMD instructions for Pentium (MMX, SSE, SSE2, SSE3) to achieve high performance: FFT,DCT,Convolution,Linear Algebra...

Generic Image processing Library of Library (GILL) is a cross-platform and GP-based C++ image processing architecture helping to develop flexible and expandable image processing library.

GLIP-Lib is an OpenGL image processing library written in C++. It features all the necessary tools to quickly build texture filters and pipelines and operate them on the GPU.

GPUImage 2 is the second generation of the GPUImage framework, an open source project for performing GPU-accelerated image and video processing on Mac, iOS, and now Linux. The original GPUImage framework was written in Objective-C and targeted Mac and iOS, but this latest version is written entirely in Swift and can also target Linux and future platforms that support Swift code. The objective of the framework is to make it as easy as possible to set up and perform realtime video processing or machine vision against image or video sources. By relying on the GPU to run these operations, performance improvements of 100X or more over CPU-bound code can be realized. This is particularly noticeable in mobile or embedded devices. On an iPhone 4S, this framework can easily process 1080p video at over 60 FPS. On a Raspberry Pi 3, it can perform Sobel edge detection on live 720p video at over 20 FPS.

GPUVision is a framework for creating GPU based general purpose programs, image processing programs, and computer vision programs in C++. Supported libraries include matrix operations, graph partitioning, kernels, corner detection, edge detection etc.

Gimp Gradient Extrapolate is a plugin for Gimp 2.8. It fills gaps or removes objects, both of which are surrounded by a gradient like smooth image structure (e.g. sky). Refer to the wiki to see how to use it. Note, since this plug-in is written in python and involves optimization problems and non-filter operations, this script's runtime can be rather long, depending on the size of your image selection. Consider donating to this project: https://sourceforge.net/projects/gimp-g-e/donate

A web-based photo gallery that can be easily integrated into your website. Includes server-side image processing script that can be run on the command-line or by cron job.

Magie is a HDRI (High Dynamic Range Image) and related tasks infrastructure toolkit which is basically focused on the library of the same name. At present Magie contains adaptive DR transformer GIMPs plug-in only.

HIPAcc development has moved to github: https://github.com/hipacc HIPAcc allows to design image processing kernels and algorithms in a domain-specific language (DSL). From this high-level description, low-level target code for GPU accelerators is generated using source-to-source translation. As back ends, the framework supports CUDA, OpenCL, and Renderscript. HIPAcc allows programmers to develop imaging applications while providing high productivity, flexibility and portability as well as competitive performance: the same algorithm description serves as basis for targeting different GPU accelerators and low-level languages.

A handwritten number recognition system was developed by using image processing and neural network technique. The system was developed in Java. Other applications which make use of image processing and neural network technique will be published too.

Various projects from Digital Image Processing and Computer Graphics club of Warsaw University of Technology.

An image processing environment, based in Java, and developed on the concept of filters applied to an input. Maybe it will work out, maybe it won't. But it's better then wasting space on SourceForge for an old game...

IMGH (IMaGe library in C++ Header files) is a simple, light-weight, and cross-platform image processing library, that supports simple editing and drawing, multiple pixel formats (pointers and float). Designed for developers and researchers.

Image Processing Algorithm in perl

A set of libraries which includes: - Time schedule library - HTTP communication library - Generic parser library - Image processing library

Image tagging (without using metadata) software written in Java (1.6). All image processing is taken care of by ImageMagick through JMagick. See wiki for main features/issues.

ImLib3D is a C++ library and visualisation system for 3D image processing. It contains most basic image processing algorithms, and some more sophisticated ones. ImLib3D images are STL-compliant templated containers. Keywords: Medical, MRI, Brain

Image Cerberus is an image spam detector, based on pattern recognition and image processing techniques. It can be used as a SpamAssassin plug-in or integrated in any other anti-spam filter. It has been widely tested, achieving high performances.

An implementation of different image manipulation and processing algorithms in JAVA.

This is a project I've created on Computer Science labs at University. Demo here: http://www.youtube.com/watch?v=uBZOk6KLA1A

The Image Processing Library 98 (IPL98) is a platform independent image C/C++ library. IPL98 is useful, for combining tailor-made image processing and interpretation with standard methods for acquisitions, processing, and storage of image information.

This is a small Java based library and a software developed on NetBeans for the studying purposes of CS students who are doing image processing. -sasi

Image Processing for Multiple Sclerosis studies