Shahed Mortazavian

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A face detection algorithm based on maximal rejection classification and skin color model is proposed. It is then computationally optimized by using an edge detector and a neural network. The obtained architecture is then implemented on Xilinx Virtex-II Pro FPGA. At first we divide the algorithm into two parts: The first part is implemented using FPGA's(More)
In this paper, a novel method based on image processing is proposed for detecting the presence and location of mechanical deformations on an actual power transformer winding. A vertical imaging setup is used to obtain a two-dimensional (2-D) image of the transformer winding using synthetic aperture radar (SAR) imaging method and Kirchhoff migration(More)
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