Open Source C++ Image Processing Software - Page 3

This Library was released by Acute3D for educational purposes. It is distributed under a BSD license. Some derivative works are used for teaching C++ development and image processing at Ecole des Ponts ParisTech. The Library is composed of 4 modules: - Common: base containers, random number generation, timer functions. - Images: image I/O and basic image processing algorithms. - LinAlg: simple wrappers for linear algebra algorithms. - Graphics: basic graphical user interface based on wxWidgets.

Create a gamer who can play instead of you. Using image processing and aritificial intelligence, a AI robot will play a game and may clear the most difficult level.

amilab is a tool for image processing that includes its own scripting language, and an interface for visualizing 2d/3d images and 3d surfaces. Its main application is medical image processing.

AiGfxLab is a powerful open source image processing application for Windows. The plugin architecture permits both general-purpose and specialized processing, with an emphasis on intuitive GUI, numerical accuracy, maximal extensibility and customization.

Multiplatform and Open Source project for astronomical image processing

BioImageXD - free open source software for analysis, processing and 3D rendering of multi dimensional, multi data channel, time series image data from microscopy and other sources.

Image processing application focused on mathematical morphology. Unique functionality: filters by reconstruction, multiple structuring element, granulometry, geodetic transformations, hit-and-miss.

The CVR-Lib (Computer Vision and Robotics Library) is a C++ object oriented library for computer vision. It provides lots of functionality to solve mathematical problems, many image processing and analysis algorithms, classification tools, and much more.

The objective of CLJ++(owned by ChenLuJie) is to gives lots of convenient to image processing developers. This tool has been used in university's lab with many kind of purposes by researchers.

The Common OCR Service Interface. COSI is an API that allows developpers to easily bring OCR (Optical Character Recognition) capabilities to image processing applications. COSI supports existing OCR tools such as Tesseract, GOCR or GNU Ocrad.

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!

Dicom Explorer is a handy tool. It's a small program which helps you can help you to view both all the tags/attributes inside a DICOM file (including ACR nema format)and images. Some image processing methods are also provided.

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.

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.