摘要
为实现自动化精准喷雾,设计了一种基于双目视觉的喷雾定位系统,实现了单株目标作物点云化三维坐标的获取。针对目标作物冠层无规则几何外形的特殊性,提出了网格划分法和引入方差分量的改进SAD(sum of absolute differences)匹配算法。算法在抑制田间背景噪声和提高匹配算法计算效率上取得了较好的效果。
In order to realize automatic precision spray,A spray positioning system was designed based on binocular vision.The system can get real-time three-dimensional coordinates of the target crop.An image segmentation algorithm and improved SAD matching algorithm were given according to the characteristics of the target crop.The algorithm achieved success in suppressing field background noise and improving the adaptability of matching algorithm.
出处
《内蒙古农业大学学报（自然科学版）》
CAS
北大核心
2013年第1期87-92,共6页
Journal of Inner Mongolia Agricultural University(Natural Science Edition)
基金
高校博士点专项科研基金项目(20120008110046)
关键词
喷雾
双目视觉
图像分割
匹配算法
Spray
binocular vision
image segmentation
matching algorithm
