Open Source Image Processing Software - Page 17
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Image Processing Software
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Viral Plaque Counter
Automatic Viral Plaque Counter
Uses image processing techniques to count a plate of viral plaque samples. -
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Enable interaction of users in a 3D environment via use of a webcam and, image processing and motion tracking techniques.
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Vision2u
free image processing software
Vision2u offers a free image processing software for personal use and research. Primary tasks of the image processing can be realized during simple operation of the software. Every Web cam owner can have simplest measuring, counting or tasks of monitoring done without high capital outlays. -
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Volumetric is a 3-D image processing tool. It reads point cloud data, expands it to a volumetric space with highly effective memory usage, and filter out necessary points.
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Web Based application to manage library materials and material borrowers. Includes a web search engine to find and reserve items by borrower ID. Painless installation, very extensible and has an intuitive U.I. Runs on MySQL. A great tool for any libr
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WingSegment
WingSegment: A tool for Analysis and Modeling of Insect Wings
WingSegment is a MATLAB app-designed tool employing a hybrid approach of computer vision and graph theory for precise insect wing image segmentation. WingSegment detects cells, junctions, Pterostigma, and venation patterns, measuring geometric features and generating Voronoi patterns. The tool utilizes region-growing, thinning, and Dijkstra's algorithms for boundary detection, junction identification, and vein path extraction. It provides histograms and box plots of geometric features, facilitating comprehensive wing analysis. WingSegment's efficiency is validated through comparisons with established tools and manual measurements, demonstrating accurate results. The tool further enables exporting detected boundaries as FreeCAD macro files for 3D modeling and printing, supporting finite element analysis. Beyond advancing insect wing morphology understanding, WingSegment holds broader implications for diverse planar structures, including leaves and geocells. This tool not only enhances a -
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WrapImaJ
Multi-platform API for Image Processing systems in Life Sciences
WrapImaJ purposes to be a multi-platform wrapper for different Image Processing systems for: - using the Java programming language. The purpose of WrapImaJ is not to combine an exhaustive collection of all functionalities of different imaging system, but to offer a simple, concise Application Programming Interface (API) - allowing to develop imaging software, the source code of which is independent from the underlying imaging system on which it relies. In it's current form, it only wraps basic functionalities of ImageJ. The developers of WrapImaJ intend the library to support compatibilty with the main imaging systems available in the Java language and broadly used in the field of life sciences. -
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wxyzv is very small image viewer (with minimal image processing functions) that works under X Window System or SVGAlib. It needs no external image processing libraries or GUI libraries. It has no GUI, it is completely keyboard-driven.
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XIPL is a simple image processing library for Microsoft's XNA Game Studio framework. All image processing routines are coded in HLSL as pixel shaders and executed at amazing speed thanks to the GPU's massive parallel architecture.
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XIPL/XASM is a basic environment to build high-level Image Processing operations using a XML-based language. The idea is to compile the high-level XIPL language into a low-level one, XASM (XML-based too), using XSLT technology.
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Xaver is a software platform base on C++ language for develop graphics applications such as games, simulations, image processing and various other. Environment is based on a modular architecture and object-design. Wrap the OpenGL function for high-level programming.
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Yadipe is a collection of utilities for common digital image processing tasks. The main intend is to provide students with an overview of fundamental techniques used in this research field.
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Yocto-Gumstix LP
Yocto-Gumstix LP - very Low Power, Processor intensive applications
This project involves integration of various Yocto components, kernel patches and scripts among others which will make Gumstix hardware consume very low power and still be ready for processor intensive applications. Examples, image processing, intelligent algorithms etc.. used for energy harvested applications like Camera-Trap for deployment in forests. See Present-low-power-capability.txt for details on what this version of poky can do on your gumstix. This work can be used for various applications and further can be improved. Authors: Sudhangathan BS, Prof. HS Jamadagni, Dr. TV Prabhakar Department of Electronic Systems Engineering, Indian Institute of Science, Bangalore. -
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Zebrafish Image Processing
Software collection for zebrafish image processing
Software collection for zebrafish image processing (under construction), including an Excel table for related tools and method papers, see also survey paper: Mikut, R.; Dickmeis, T.; Driever, W.; Geurts, P.; Hamprecht, F.; Kausler, B. X.; Ledesma-Carbayo, M. J.; Marée, R.; Mikula, K.; Pantazis, P.; Ronneberger, O.; Santos, A.; Stotzka, R.; Strähle, U. & Peyriéras, N. Automated Processing of Zebrafish Imaging Data - A Survey Zebrafish, 2013 -
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allink
Software for data analysis, image processing, simulations, solver.
Collection of utilities based on two basics classes: Matematica and VarData. Matematica) performs math operations on vectors and matrices for smoothing, interpolation, convolution, image processing... VarData) manipulate a structure of points connected by links. Addraw) openGL engine. ElPoly) analyze mechanical properties of polymer and membrane like structures. Addyn) perform molecular dynamics and Monte Carlo simulations and has a solver for 4th oder PDE. Avvis) perform all the operation of Matematica on different sets of data visualized on a Qt graphical interface. DrImage) image manipulation on the Matematica filters. The program is intended to use as less as possible external libs (optional: openGL, gsl, fftw, cgal, png, tiff, boost, MPI, Qt...). -
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apophnia++
moved to https://github.com/sroycode/apophniapp
Image processing project, inspired by apophnia, moved to https://github.com/sroycode/apophniapp -
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This program automatically adds tags to your pictures on flickr.com. First it computes the tags by image processing, then the user can choose which tags he wants to add to a certain picture.
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bild
Image processing algorithms in pure Go
A collection of parallel image processing algorithms in pure Go. The aim of this project is simplicity in use and development over absolute high performance, but most algorithms are designed to be efficient and make use of parallelism when available. It uses packages from the standard library whenever possible to reduce dependency use and development abstractions. All operations return image types from the standard library. Package convolution provides the functionality to create and apply a kernel to an image. Package effect provides the functionality to manipulate images to achieve various looks. Package histogram provides basic histogram types and functions to analyze RGBA images. Package paint provides functions to edit a group of pixels on an image. Package parallel provides helper functions for the dispatching of parallel jobs. -
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bildster
Bildster is an image processing library for educational purposes.
Bildster is an image processing library for educational purposes that provides tools for loading and manipulating (or creating) images. It provides a split screen view (before / after). Both, a C and a Java version exist. Das Projekt stellt das Programmpaket "Bildster" bereit --- eine Entwicklungsumgebung für Bildverarbeitungsprogramme. Es gibt eine C-Version für Linux und eine plattformunabhängige Java-Version. Das Programm eignet sich für den Informatikunterricht in der Oberstufe. Lizenz ist GPL 3. -
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blitz-image
GPU-accelerated image processing for java
blitz-image is a library to support extremely fast image processing in java, harnessing GPU acceleration via OpenCL. Although more features will be added in time, the initial focus is on very fast high-quality image resizing, including bicubic resizing (both upscale and downscale). The performance of a typical bicubic upscale operation is typically in the order of 10 times faster than via the standard AWT mechanism using RenderingHints.VALUE_INTERPOLATION_BICUBIC. The library depends on Aparapi (https://code.google.com/p/aparapi/). Any GPU supporting OpenCL should be supported (including low-end GPUs without double-precision fp support), and there is automatic fallback to pure java implementations for all operations in the event that there is no OpenCL support available. A high-level API allows for very easy use from AWT/Swing, whilst the low-level array-based API allows integration with any imaging framework (e.g. from Android or SWT). -
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CartoGimp is a Gimp plugin that enables the rendering of geographic data files (DEM, DLG, GNIS, etc.) It has many of the features of Drawmap, but with a graphical user interface and the Gimp's powerful image processing capabilities.
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Console frame grabber. Includes simple image processing filters for mirroring, brightness, negative and captures in 24 bit color or 8 bit greyscale. Supports PNG, JPEG and PPM saves.
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cocolib / light field suite
CUDA library for continuous optimization and light field analysis
Library for continuous convex optimization in image analysis, together with a command line tool and Matlab interface. Implements several recent algorithms for inverse problems and image segmentation with total variation regularizers and vectorial multilabel transition costs. Also included is a suite for variational light field analysis, which ties into the HCI light field benchmark set and givens reference implementations for a number of our recently published algorithms. *** NOTE: documentation on the SourceForge page is outdated and not updated anymore, please visit http://cocolib.net ***
