Showing 5 open source projects for "statistical analysis"

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  • 1
    Gwyddion

    Gwyddion

    Scanning probe microscopy data visualisation and analysis

    A data visualization and processing tool for scanning probe microscopy (SPM, i.e. AFM, STM, MFM, SNOM/NSOM, ...) and profilometry data, useful also for general image and 2D data analysis.
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    Downloads: 1,446 This Week
    Last Update:
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  • 2
    ShinyCardinal

    ShinyCardinal

    Mass spectrometry imaging data analysis software tool

    ShinyCardinal is an open-source and vendor-neutral software that covers all steps in MSI data analysis. It leverages the R package Cardinal to enhance its functionalities by introducing several additional important features, such as the removal of background noises and matrix peaks, deisotoping, absolute quantification, network analysis, and metabolite identification. ShinyCardinal is built as a desktop application with a conveniently designed graphic user interface to provide users a...
    Downloads: 1 This Week
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  • 3

    cbrTekStraktor

    an application to automatically extract text from comic books.

    cbrTekStraktor is an application to automatically extract text from the text bubbles or speech balloons present in comic book reader files (CBR). Its prime goal is to perform analysis on the texts of comic books. cbrTekStraktor can however also be used for scanlation or similar purposes. The application also enables to manually define text areas in CBR files. The application comprises a simple graphical editor for further processing the extracted text. The text extraction is achieved by a combination of statistical and graphical processing operations. ...
    Downloads: 1 This Week
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  • 4

    EMGU Face Recognition

    Using EMGU to perform Principle Component Analysis (PCA)

    ...Face Recognition has always been a popular subject for image processing and this article builds upon the good work by Sergio Andrés Gutiérrez Rojas and his original article (codeproject). The reason that face recognition is so popular is not only it’s real world application but also the common use of principle component analysis (PCA). PCA is an ideal method for recognising statistical patterns in data. The popularity of face recognition is the fact a user can apply a method easily and see if it is working without needing to know to much about how the process is working.
    Downloads: 0 This Week
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  • 5
    phpCollect aims to quickly and easily graph, record, and display statistical host data.
    Downloads: 0 This Week
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