Open Source Image Processing Software - Page 10

FreeROI is a versatile image processing software developed for neuroimaging data. Its goal is to provide a user-friendly interface for neuroimaging researchers to visualize and analyze their data, especially in defining region of interest (ROI) for ROI analysis.

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.

GLipKit (GL Image Processing Kit) is a collection of image processing and computer vision algorithms performed on current programmable 3D graphics hardware for faster execution. The main focus is currently computational stereo.

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.

Geny Photo Effects is simple image processing for Android. This project is for educational purpose.

GpuBIP is an image processing application for CUDA, targeted mainly to process big images organized in tiles. It uses nip2 workspace files to process images on GPUs. However, only small amount of filters will be available (is planned).

GraphicsMagic is an open source project that distributed under the GPL. It is an image processing application, and developed/compiled with Delphi 6/7 + Graphics32.

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.

Nowadays, the manual cell counting, performed directly by looking through the microscope’s oculars by using a tally counter and a hemocytometer, still is the gold standard method to count Live&Dead cells (Trypan Blue is typically used to stain the dead cells). However, performing the cell counting by tagging the cells in a steady image mosaic increases the reliability of the counts performed. Unfortunately, to build a mosaic of a hemocytometer's grid shows some problem due to the repeated patterns (i.e., the squared blocks of the grid). GridMos is an open-source software tool conceived to build an image mosaic of a hemocytometer's grid. It is optimized to build the mosaic starting from a sequence of overlapping images previously acquired. The Graphical User Interface (GUI) implemented makes GridMos a very user-friendly software tool. Requirements: MATLAB 2009b (32-bit) and Image Processing Toolbox 8.1 or later versions.

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.

a very basic Pascal / Delphi implementation of the Hough algorithm for line and circle recognotion. In the actual project state you may see a line and circle detection - working only with simple images as the Hough accumulator post processing is not yet implemented. This project is looking for support and the currect version is just for training and teaching purpose ! remarks: * Now this projects provides a complete DELPHI project ready to compile and a *.exe for fast evaluation of the code performance * would like to see a port to LARZARUS Free Pascal - feel free to post your experiemence in the forum

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...

IA_CoMP is the implementation of interference alignment and coordinated multipoint used in the paper: "An Experimental Investigation of SIMO, MIMO, Interference-Alignment (IA) and Coordinated Multi-Point (CoMP)", by Per Zetterberg and Nima N Moghadam, presented at the 19th International Conference on Systems, Signals and Image Processing (IWSSIP) 2012. The implementation runs on a special configuration of USRPs.

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.

IMJ is a Java image processing library used for a small research project. Its goal is to handle multiscale analysis of biomedical whole slide images (WSIs).

Image Processing Algorithm in perl

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

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