Showing 4 open source projects for "nero linux 4"

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  • 1
    TracTrac

    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:...
    Downloads: 1 This Week
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  • 2
    TraceX

    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 =...
    Downloads: 4 This Week
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  • 3

    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. Zhong @ the University of Manchester's supervision, guidance and...
    Downloads: 0 This Week
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  • 4
    LAVA for AFM

    LAVA for AFM

    Lloyd's Algorithm-based Volumetric Analysis for AFM Images

    This MATLAB-based program enables analysis of AFM images. In particular, it allows the user to measure the volume of all distinguishable features in an image and to isolate and sort those particles. As the name implies, LAVA uses Lloyd's Algorithm, also known as k-means sorting, to identify a small set of volumes representative of the actual distribution of particle in the image. Although developed for determining feature volume, LAVA is also completely compatible with other types of...
    Downloads: 1 This Week
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