基于硬件卷积的实时图像视频边缘增强

Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation Pub Date : 1993-10-19 DOI:10.1109/TENCON.1993.328007

Zhang Zongcheng, W. Hongyan, Liu Weixiao, Yu Ming

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引用次数: 2

摘要

该系统是一种用于图像处理的实时边缘检测器。边缘检测算法采用3/ sp1次/3索贝尔算子，并采用新的方向信息添加电路。硬件设计工作在10mhz像素率，并将容纳图像512/spl次/512像素帧/秒与非隔行视频，或高达512/spl次/290像素与隔行扫描。硬件是流水线和并联的，以达到所需的速度。处理512/spl倍/290像素的灰度级图像需要20毫秒。它可用于军事侦察，电视实时跟踪或工业检查。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Real-time image video edge enhancement using hardware convolver

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.<>

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Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation

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