基于FPGA嵌入式视觉的导盲算法实现

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。

Blind-guiding Algorithms Based on FPGA Embedded Vision

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.