基于FPGA嵌入式视觉的导盲算法实现
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引用本文:孙鑫宇,储辉,杨天歌,高天维,王嵘,万永菁?覮.基于FPGA嵌入式视觉的导盲算法实现[J].计算技术与自动化,2020,(1):79-83
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孙鑫宇,储辉,杨天歌,高天维,王嵘,万永菁?覮 (华东理工大学 自动化系上海 200237) 
中文摘要:项目在FPGA平台上实现了一系列的图像处理算法。通过HSV色彩空间上的阈值判断、形态学滤波等方法识别出了一张图像中的盲道成分,加以一系列的分析判断,得出盲道的详细情况,并充分发挥了FPGA的高速并行特点,实现了每秒千帧的超高速处理。结果表明,系统具有很高的识别准确度与很强的环境适应性。
中文关键词:FPGA  盲道识别  嵌入式视觉  
 
孙鑫宇,储辉,杨天歌,高天维,王嵘,万永菁?覮
Abstract:Our project implements a series of image processing algorithms on the FPGA platform. Through the morphological filtering on the HSV color space and threshold judgment,the blind sidewalk components in an image are identified,and a series of analysis and judgment are made to obtain the details of the blind sidewalk,and the high-speed parallel characteristics of the FPGA are fully utilized to realize ultra-high speed processing of thousands of frames per second. The final result shows that the system has high recognition accuracy and strong environmental adaptability.
keywords:FPGA  blind sidewalk identification  embedded vision  
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