摘要
以苗期玉米和冬小麦为例,对比土壤、小麦、玉米、玉米田间杂草及小麦田间杂草的两种绿色增强因子统计图,利用过绿特征(2G-R-B)作为参数,结合BP神经网络,运用计算机图像处理技术,采用像素位置直方图法,识别出了杂草,并确定出了杂草位置、面积。实验结果表明,该方法可以准确识别出杂草,误差正确识别率高;小麦和玉米田间杂草识别时间短,可以满足实时性要求。
Contrasting the two green strength genes of the soil, wheat, corn, and the weed, a system to identify the weed from the crop was designed. It used the 2G-R-B and BP neural network, with the help of pixel-position-histogram diagram, to calculate the area and position of weed. The results show that the method could identify the weed from the field and crop, and its correct rate is high. The program gives the result that running time of identifying weed in whea field is short. In a word, the system can satisfy the request of real time.
出处
《机电工程》
CAS
2008年第4期28-30,33,共4页
Journal of Mechanical & Electrical Engineering
关键词
变量施药
杂草识别
图像处理
variable spray
weed identification
picture disposal
