摘要
超级稻精密播种过程中涉及空穴检测、补种等关键技术。运用LabVIEW图像处理技术可将秧盘运动过程中采集到的彩色图像转换为灰度图像,进而转换为二值图像,再对二值图像进行形态学处理,最后提取二值图像的几何特征。结果表明,LabVIEW图像处理技术可以实现精密播种过程中对空穴的检测及点位控制补种技术中对邻接矩阵算法的要求。
Seeding cavity detection and reseed are the key technologies in the process of super rice precision seeding. LabVIEW image processing technology first convert the color images which collected in tray movement to gray image,then gray image is converted into a binary image,and morphology of binary image processing,finally extract the geometrical characteristic of the binary image,the results show that LabVIEW image processing technology can meet the requirements of precision seeding for seeding cavity detection and the calculation of adjacency matrix for point to point control reseed technology.
出处
《安徽农业科学》
CAS
2015年第23期338-339,341,共3页
Journal of Anhui Agricultural Sciences
基金
黑龙江省教育厅科学技术研究项目(12531687)
关键词
图像处理
精密播种
空穴检测
邻接矩阵
Image processing
Precision seeding
Seeding cavity detection
Adjacency matrix