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 MoreMetadata
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.<>
Published in: Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation
Date of Conference: 19-21 October 1993
Date Added to IEEE Xplore: 06 August 2002
Print ISBN:0-7803-1233-3
References is not available for this document.
Select All
1.
C. D. Mcllroy, R. Linggard and W. Monteith, "Hardware for real-time image processing", IEE Proc., vol. 131, no. 6, pp. 223, Nov. 1984.
2.
A. Rosenfeld and A. C. Kak, Digital Image Processing, 1982.
3.
R. E. Woods and H. C. Gonzalez, "Real-time digital image enhancement", Proc.IEEE, vol. 69, no. 5, pp. 643-654, 1981.
4.
Z. Zongchang and W. Hongyan, "To achieve the edge of the image with hardware", SICS'91, pp. 306, 1991.
5.
W. K. Pratt, Digital Image Processing, New York:Wiley-Interscience, 1978.
6.
I. E. Abdou, Quantitative methods of edge detection, July 1978.