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Real-time image video edge enhancement using hardware convolver | IEEE Conference Publication | IEEE Xplore

Real-time image video edge enhancement using hardware convolver


Abstract:

The system described is a real-time edge detector for use in image processing. The edge-detection algorithm is a 3/spl times/3 Sobel operator and adopts a new circuit of ...Show More

Abstract:

The system described is a real-time edge detector for use in image processing. The edge-detection algorithm is a 3/spl times/3 Sobel operator and adopts a new circuit of adding to orientation information. The hardware is designed to work at the 10 MHz pixel rate, and will accommodate images of 512/spl times/512 pixels at frames/s with noninterlaced video, or of up to 512/spl times/290 pixels with interlaced scanning. The hardware is pipelined and paralleled to achieve the required speed. 20 ms is needed to process a 512/spl times/290 pixels grey-level image. It may be used in military reconnaissance, TV real-time tracking or industry inspection.<>
Date of Conference: 19-21 October 1993
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-1233-3
Conference Location: Beijing, China
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Suhas Jadhav, Rohit Narvekar, Ajay Mandawale, Sachin Elgandelwar, "FPGA Based Object Tracking System", 2015 Fifth International Conference on Communication Systems and Network Technologies, pp.826-829, 2015.
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