7657

Parallelization of the Local Threshold and Boolean Function Based Edge Detection Algorithm Using CUDA

Raka Jovanovic, Milan Tuba, Dana Simian
University of Belgrade, Institute of Physycs, Pregrevica 118, 11000 Belgrade, Serbia
Proceedings of the 5th WSEAS World Congress on Applied Computing Conference (ACC ’12), 2012

@article{jovanovic2012parallelization,

   title={Parallelization of the Local Threshold and Boolean Function Based Edge Detection Algorithm Using CUDA},

   author={Jovanovic, R. and Tuba, M. and Simian, D.},

   year={2012}

}

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In this paper we present a parallelized algorithm for edge detection for gray scale images. The chosen method is the local threshold and boolean function based edge detection. This method differs from common edge detectors in the use of bit map patterns instead of analyzing gradient changes in the image for edge recognition. The parallelization is implemented on the GPU, exploiting its multithreaded, many-core processor power using NVIDIA’s CUDA (Compute Unified Device Architecture). We show in our tests the significant speedup of parallelized algorithm compared to the sequential one.
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