Search Results for "fast" - Page 2

TejashCAM is a very small standalone tool for taking pictures from your camera. It does not requires any installation, just grab it and run to take images. It supports, fast image processing algorithms to take bitmap images and support the camera settings, so you can adjust your camera according to your need.

MDSTk is a collection of 2D/3D image processing tools aimed at medical images. It contains routines for volume data processing (3D filtering, segmentation, etc.) as well as fast low-level vector graphics library for surface and tetrahedral meshing. MDSTk has been forked by 3Dim Laboratory s.r.o. to provide better support and further push its development forward. Please check VPL (Voxel Processing Library) project available on Bitbucket (https://bitbucket.org/3dimlab/vpl).

LuaCV is OpenCV library wrapper for Lua language. Main goal is to access fast image processing library to light-weight, non-type language. Thanks to CMake project is a much easier to compile it under many OS platforms which are supported by OpenCV. LuaCV is being developed at faculty of Electrical Engineering and Communication of Brno University of Technology in Czech republic. Working with: Lua 5.2, OpenCV 2.2-2.4 LuaCV-0.2.0 (svn rev. 62) is last version compatible with Lua 5.1 but working only with OpenCV 2.2 and below.

...We use a flexible graph data representation that allows us to generalize the constraint on the projection variable. We show how this new formulation of the TV problem may be solved by means of fast parallel proximal algorithms. On denoising and deblurring examples, the proposed approach is shown not only to perform better than recent TV-based approaches, but also to perform well on arbitrary graphs instead of regular grids. The proposed method consequently applies to a variety of other inverse problems including image fusion and mesh filtering.

☆libunitinu.php☆ An UNITIИU Image Processing Library Makes a fun flipped image Learn more → http://encyclopediadramatica.se/UNITINU

CxImage is a C++ image processing library. It can load, save, display, transform images in a very simple and fast way, with transparency, multiple layers and selections, support for BMP GIF JPG PNG MNG TIF ICO TGA PCX J2K JBG RAS PNM RAW PSD

...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

PIAF (Prototype Image Applications Fast) is a prototyping tool for helping development of image processing algorithms. Based on a Qt GUI, it can display and process several live video inputs or still images with a plugins based architecture.

Quantum Mechanical Toolkit And 3D Viewer for C++. Allows Data Visualisation via Images, Surfaces and Volume plots using OpenGL, as well as rapid development Quantum Mechanical Simulations. Uses the Blitz++, VTK Visualisation and Qt Libraries.

DICOM Anonymizer replaces the patient names in all the DICOM files in a folder (and sub-folders) with other strings you assigned. Works as a batch and works fast. Supports number index. Anonymizing is required for medical image processing.

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.

This project provides a fast distributed system for image processing, written in Python. It aim is to be used as service to PHP, Perl and Python application servers.

LeafAnalyser has been developed as a fast throughput leaf shape analysis application. It contains features such as automated image processing, data analysis and interactive 2D/3D graphs.

etdips: Exploratory Two/Three Dimensional Image Processing Software Win 2000/NT/9x based system for 3D image visualization and analysis Fast Ray Cast, Hybrid, MIP, X-Ray Volume Rendering Iso-surface extraction and Surface Rendering Key-frame based

Amoeba is an implemenatation of a research paper titled "Fast and Accurate Edge-Based Segmentation with No Contour Smoothing in 2-D Real Images" (IEEE tran on Image Processing, July 2000).This is a completed work, hence no promises for support ;)

...While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.