摘要
随着水稻育秧技术的智能化发展,秧苗的生长状态监测对于秧苗的智能化培育具有重要意义。针对秧苗的生长状态监测进行研究,采用图像处理技术,在图像采集及预处理的基础上,采用HIS图像颜色空间特征分析提取图像的I分量图像进行图像阈值分割,提取叶片区域。通过图像分割区域的连通区域面积计算,获取水稻秧苗叶片覆盖率,并开发了水稻秧苗状态监测系统。实验结果表明,所采用方法能够实现秧苗区域的分割,并能通过秧苗叶片覆盖率反应秧苗的生长状态。
With the intelligent development of rice seedling technology,the monitoring of seedling growth status is of great significance for the intelligent cultivation of seedlings.In this paper,the monitoring of seedling growth status is studied.Based on image acquisition and preprocessing,image processing technology is used to extract the I component image of the image by analyzing the color space features of his image,and then image threshold segmentation is used to extract the leaf area.By calculating the connected area of image segmentation region,the leaf coverage of rice seedling was obtained,and the rice seedling condition monitoring system was developed.The experimental results show that the method can realize the segmentation of seedling region,and can reflect the growth state of seedlings through the seedling leaf coverage.
作者
范位龙
董志茹
金家铭
代奇缘
贺春梅
崔明
FAN Weilong;DONG Zhiru;JIN Jiaming;DAI Qiyuan;HE Chunmei;CUI Ming(Jiangsu Vocational College of Agriculture and Forestry,Zhenjiang,Jiangsu,212400)
出处
《数字通信世界》
2021年第9期112-113,116,共3页
Digital Communication World
基金
2020年江苏省大学生创新创业训练计划项目(202013103015Y)。
关键词
秧苗
图像处理
生长状态
rice seedling
image processing
growth state
