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...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
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
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. ...
...Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower the final costs.
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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.
Amoeba is an implemenatation of a research paper titled "Fast and Accurate Edge-Based Segmentation with No Contour Smoothing in 2-D Real Images" (IEEE tran on Image Processing, July 2000).This is a completed work, hence no promises for support ;)