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    S2CBench

    S2CBench

    Synthesizable SystemC Benchmark Suite

    ...You can log in to our Youtube channel to watch some videos about S2CBench and SystemC in general www.youtube.com/DARClabify or visit our labs web page at www.utdallas.edu/~schaferb/darclab To know more about the designs and why they were included in the benchmark suite you can read the following academic paper: B. Carrion Schafer and A. Mahapatra, "S2CBench:Synthesizable SystemC Benchmark Suite for High-Level Synthesis ", IEEE Embedded Systems Letters, 2014
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  • 2

    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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  • 3

    EMGU Kalman Filter

    Kalman Filter for EMGU Image Processing Applications

    The Kalman filter is an algorithm which operates recursively on streams of noisy input data to produce a statistically optimal estimate of the underlying system state (Original Paper). The filter is named for Rudolf (Rudy) E. Kálmán, one of the primary developers of its theory. More information is available at Wikipedia, the Kalmn Filter was derived to solve the Wiener filter problem. The Wiener filter problem is to reduce the amount of noise present in a signal by comparison with an estimation of the desired noiseless signal. ...
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  • 4
    An implementation of Bruhn et al.'s fast variational optical flow algorithm using the OpenCV image processing library. The code calculates dense flow fields with a user-specified level of precision.
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