Showing 5 open source projects for "raw"

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    Utah Raster Toolkit

    Utah Raster Toolkit

    The Utah Raster Toolkit 3.0, patchlevel 2

    This is the Utah Raster Toolkit distribution version 3.0 of June, 1990. ~~~ librle.a, image.rle file type support, animation, rletogif, converters, many utilities. RLE format supports a great number of raw inner formats for applications to use, known together as .rle (ie, "stored windowing") ~~~ The Utah Raster toolkit is a collection of programs and C routines for dealing with raster images commonly encountered in computer graphics. It provides the following major functions: * A device and system independent image format for storing images and information about them. ...
    Downloads: 0 This Week
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  • 2

    DRAMMS

    A Deformable Medical Image Registration Toolbox

    DRAMMS is a software package designed for 2D-to-2D and 3D-to-3D deformable medical image registration tasks. Released by Section of Biomedical Image Analysis (SBIA) at the University of Pennsylvania. Some typical applications of DRAMMS include, -- Cross-subject registration of the same organ (can be brain, breast, cardiac, etc); -- Mono- and Multi-modality registration (MRI, CT, histology); -- Longitudinal registration (pediatric brain growth, cancer development, mouse...
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    Downloads: 4 This Week
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  • 3
    SourceAFIS

    SourceAFIS

    Fingerprint recognition library (.NET port)

    SourceAFIS is a software library for human fingerprint recognition. It can compare two fingerprints 1:1 or search a large database for matching fingerprint. It takes raw fingerprint images on input and produces matching score on output. Click the website link above for more info.
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  • 4
    HDRFlow is a framework to process high-dynamic range (HDR) and RAW images. It's written in C++, and is both cross-platform and hardware accelerated on modern GPUs.
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  • 5
    Openminer, as a data mining engine, is developed on java for analysis of dataset with the methods of data mining. By making use of openminer, we could discovery the knowledge which interests us but hides in the raw data.
    Downloads: 0 This Week
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