基于数字图像的草坪内部障碍物识别研究

Internal Obstacle Recognition Research in Lawn Based on Digital Image

根据草坪工作场景,利用数字图像处理技术,提出一种基于S、H分量和Otsu算法的障碍物识别方法,对中值滤波算法进行改进,克服了传感器误差大、智能算法训练时间过长、Otsu抗噪性能差的问题。实验结果表明,这种基于数字图像的障碍物识别方法能对障碍物进行良好识别,进而实现障碍物的实时处理。

According to the working scene of lawn,an obstacle recognition method based on S,H component and Otsu algorithm is proposed by using digital image processing technology.The median filter algorithm is improved to overcome the sensor error that the intelligent algorithm training time is too long and Otsu has a problem of poor noise immunity.The experimental results show that the obstacle recognition method based on digital image can realize the real-time processing and recognition of the obstacle.