Open Source C++ Image Processing Software - Page 3

CT4AM is a cross-platform toolkit for 3D-image processing in the domain of additive manufacturing for toolpath visualisation or correlation to tomographic data and related materials science. It is written in C++ and provides small, problem-specific applications for viewing, analysing and visualising of volumetric data from micro-CT scans with respect to the complex process parameters and characteristics of additive manufacturing. Moreover, data analysis and processing of G-code are key assets of the project. The main objective is not to provide yet another complex application for volume data visualization and medical image processing. Instead, CT4AM is a collection of small and simple apps that have already been successfully used to solve various problems in materials science and process visualization. You can either execute these tools directly or use their source codes to develop your own application for toolpath analysis or correlation.

Compost is a modular image processing program. It has a API for plugin developers and a simple scripting language.

With help of active trackbars you can change the values of RGB and HSV to threshold the live image feed from your camera!

The Digital Image Processing Library (dimple) is a C++ class/algorithm library for image processing. Dimple consists of a wide range of image processing routines which can be viewed as low- to mid- level vision tasks.

Digital Image Processing Toy process in real time live images captured from video4linux compatible hardware. Remove background from captured tv camera images, invert image colors, split rgb field, display coor istograms, etc.... Strong changes in light i

A simple rendering, image processing engine. Includes a framework width (multiplatform) event handling, plugin management, a templated based math library and some exotic features like general linear camera, gpu based (OpenGL) image process...

FIPS is an image processing software, that allows you to edit your images by using several image filters, like minimum and maximum filter, median filter or filters that try to optimize the contrast.

Foad is an open source software which receive an EKG Signal from scanner, WFDB database or heart sensors. Finding patient disease started by taking Fourier transform (FFT) from input signal and extract a single cycle. Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower the final costs.

Foresight is a LGPLed wrapper that currently brings together the Intel IPL, Intel OpenCV, ImageMagick, and the Matrox MIL. The ultimate goal is to provide a standard interface for any number of acquisition and image processing libraries.

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.

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.

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

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.

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.

Image Processing Library is a complete image processing package. The main features is to support many image formats. By utilizing Object Oriented Programming concept, many image conversion filters are written in a neat, and clear way.

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.

Image Restoration and Inpainting: MinGW/OpenGL/Visual c++/Java image processing enhancing/restoring/detecting/recovering image parts(Old painting cracks...) FastRestorarion, 2D (Un)Splitted Linear Solver, nonlinear solver: conjugate gradient,QuasiNewton

Image-In is a C++ based image processing and analysis application. It works on images, videos and cameras. Target is to help you to develop and test new algorithms via add-ons. Chains of filters can be arranged to achieve intelligent systems.

This project aims at implementing a variety of the image processing algorithms by means of GIL.

Improla == IMage PROcessing LAb. It is meant for image processing research and teaching. From ImprolaLib-0.0.2, it supports reading and writing PNG images. It uses PNGwriter(pngwriter.sourceforge.net) for this purpose.

Jorik is about using graphics processing units in general purpose (GPGPU) computations: parallel sorting, dynamic PDE and image processing. Jorik is written on C++/DirectX/HSLS, supports both ATI and nVidia cards. It suits for not-gaming GPU benchmarking.