Search Results for "toolbox"
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Showing 19 open source projects for "toolbox"
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TextureAtlas Toolbox
A powerful, free and open-source tool for TextureAtlases/Spritesheets
...Formerly known as TextureAtlas to GIFs and Frames Licensed under AGPL-3.0 Third-party licenses: See https://github.com/MeguminBOT/TextureAtlas-Toolbox/blob/main/docs/licenses.md The GitHub has most things documented, please have a look there if you want to find out more! Documentation Hub: https://github.com/MeguminBOT/TextureAtlas-Toolbox/tree/main/docs List of supported formats; https://github.com/MeguminBOT/TextureAtlas-Toolbox?tab=readme-ov-file#supported-formats List of supported formats (in-depth): https://github.com/MeguminBOT/TextureAtlas-Toolbox/blob/main/docs/format-reference.md -
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ReViMS
ReViMS, a 3D volume rendering tool for light-sheet/confocal microscopy
...ReViMS is written in MATLAB (The MathWorks, Inc., Massachusetts, USA). It is an open-source tool and the source code is freely available at: http://sourceforge.net/p/revims Requirements: MATLAB R2017b and Image Processing Toolbox 10.1 or later versions. -
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ReViSP
ReViSP, a 3D volume rendering MATLAB tool for multicellular spheroids
...ReViSP is written in MATLAB (The MathWorks, Inc., Massachusetts, USA) and the source code is freely provided. Requirements for running ReViSP from the source code: MATLAB 2020a and Image Processing Toolbox 11.1 or later versions. Please, when using this software, cite these articles: (a) F. Piccinini, et al., Cancer multicellular spheroids: Volume assessment from a single 2D projection. Computer Methods and Programs in Biomedicine, 118(2):95–106, 2015. (b) F. Piccinini, et al., Single-image based methods used for non-invasive volume estimation of cancer spheroids: a practical assessing approach based on entry-level equipment. ... -
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ANDTool
Analysis Nuclei DAB (AND) Tool
...ANDTool is written in MATLAB (The MathWorks, Inc., Massachusetts, USA) and the source code and standalone versions are here available for download. USER MANUAL: see the specific PDF available in the Files section. REQUIREMENTS: MATLAB R2017b and Image Processing Toolbox 10.1 or later versions. MAIN CONTACT: Filippo Piccinini (E-mail: filippo.piccinini85@gmail.com) -
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PRMLT
Matlab code of machine learning algorithms in book PRML
...There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). The code is extremely compact. Minimizing code length is a major goal. As a result, the core of the algorithms can be easily spotted. Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). ... -
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TracTrac
Massive Object Tracking Software (Matlab/Python)
TracTrac is a Particle Tracking Velocimetry (PTV) software which is extremely fast (more than 10k points tracked per second, 100k under python) and accurate (up to 0.01 pixel resolution), forming thus a good concurrent to the state-of-the art PIV/PTV algorithms. It allows to track anything that moves: birds, ants, grains, water flows... It runs on Python (v2&3) or Matlab (>2012a with Image Processing toolbox). Give it a try ! Get the last sources on GitHub: https://github.com/jorishey1234/tractrac -
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Scilab Image Processing Toolbox
Advanced image processing toolbox for Scilab on Unix/Linux/Mac OS
SIP is the image processing and computer vision package for SciLab, a free Matlab-like programming environment. SIP reads/writes images in formats like JPEG, PNG, and BMP. It does filtering, segmentation, edge detection, morphology, and shape analysis. Download from Git http://siptoolbox.sourceforge.net/devel -
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F-Tracker3D
A software tool for tracking fluorescent cells in 3D
...F-Tracker3D is written in MATLAB (©, The MathWorks, Inc., Massachusetts, USA) and the source code is freely provided. Requirements: MATLAB 2015a and Image Processing Toolbox 9.2 or later versions. -
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TraceX
MatLab App for calculating fitting isotopic exchange profile data
MatLab App for calculating fitting isotopic exchange profile data. Developed for measuring self-diffusivity and effective surface exchange coefficient of ion conducting materials. Requires MatLab image processing toolbox If you use this tool for you research, please cite my PhD thesis: Cooper, S. J. Quantifying the Transport Properties of Solid Oxide Fuel Cell Electrodes. (Imperial College London, 2015). @phdthesis{SJCooper2015, author = {Cooper, S. J.}, number = {November}, publisher = {Imperial College London}, school = {Imperial College London}, title = {{Quantifying the Transport Properties of Solid Oxide Fuel Cell Electrodes}}, year = {2015} } -
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...Its simple API supports over 80 image formats, and is intended to make massive use of other image processing libraries. Animal aims at image analysis and recognition. It is mainly the C basis of the SIP toolbox.
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Orfeo ToolBox
OTB is an open-source C++ library for remote sensing images processing
The Orfeo Toolbox is a C++ library for high resolution remote sensing image processing. It is developped by CNES in the frame of the ORFEO program. More information is available at www.orfeo-toolbox.org It is based on the medical image processing library ITK and offers particular functionalities for remote sensing image processing in general and for high spatial resolution images in particular. -
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libcrn is document image processing library written in C++11 for Linux, Windows, Mac OsX and Google Android. It is a toolbox that allows to create easily software such as OCRs and layout analysis tools.
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flow visualization toolbox
matlab 2D image processing GUI toolbox for flow visualization
A general flow visualization Matlab toolbox for image processing of some common planar/surface visualization techniques from PLIF (Planar laser induce fluorescence) for tracer distribution, BOS (background oriented Schlieren) for density, TSLC (Temperature sensitive liquid crystal) for thermal and PSP (Pressure sensitive paint) pressure distribution measurement. This work is part of author's PhD study, under Dr S. -
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GridMos
GridMos, mosaicing tool (in MATLAB) to improve cell counting.
...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. -
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matImage
An image processing and analysis library for Matlab
...It contains more than 250 fonctions for image enhancement, filtering, analysis, or visualisation, as well as for creating basic test shapes. It is built as a complement of the Mathworks image processing toolbox (IPT). Project is being transfered to GitHub: http://github.com/dlegland/matImage -
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Malimpa stands for MAtlab Library for IMage Processing and Analysis. It provides functions for 2D/3D grascale/color image creation, filtering, or measurement. It requires, and complements Matlab Image Processing Toolbox. Important notice: the project is now hosted in GitHub, https://github.com/dlegland/matImage
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LBP in multiple platforms
LBP implementation in multiple computing platforms (ARM,GPU, DSP...)
...When selecting a suitable LBP implementation platform, the specific application and its requirements in terms of performance, size, energy efficiency, cost and developing time has to be carefully considered. This is a software toolbox that collects software implementations of the Local Binary Pattern operator in several platforms: - OpenCL for CPU & GPU - OpenCL for GPU (branchless) - C code optimized for ARM - OpenGL ES 2.0 shaders mobile GPUs - C code for TI C64x DSP core (branchless) - C code for TTA processor synthesis If you use the code somewhere, please cite: Bordallo López M., Nieto A., Boutellier J., Hannuksela J., and Silvén O. ... -
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SIVP stands for Scilab Image and Video Processing toolbox. SIVP intends to do image processing and video processing tasks. SIVP is meant to be a useful, efficient, and free image and video processing toolbox for Scilab.
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Written in Python and the Numeric package. It supports the examples of the book: Dougherty and Lotufo, Hands-on Morphological Image Proc., SPIE, 2003, ISSN=0-8194-4720-X. This toolbox has been continued at www.adessowiki.org under name ia870.
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