大豆幼苗生长势自动监测系统的研究

Automatic Monitoring System of Soybean Seedling Growth

以黑豆幼苗为材料,以绿色叶片面积为指标,利用图像处理技术实现大豆早期生长状态的自动化监测,工作原理主要包括3个过程:首先,对幼苗生长状态样本图像进行颜色过滤二值化;其次,利用中值滤波方法对样本图像产生的噪声点进行过滤;最后,提出基于四邻域编码一次遍历的方法,实现同时对样本图像连通区域数量和各区域面积的统计。

Using black soybean seedlings as materials,the green leaf area for reference,processing technology to achieve automation in monitoring soybean growth status of early use of image,working principle mainly includes three steps：first,the soybean seedling growth state sample image color filter two values;secondly,to filter the noise of the sample image by median filtering method;finally,this paper proposed a method 4-neighborhood encoding by one traversal based on the statistics and the number of connected regions,and any region area on the sample image. Research results show that the method is efficient to provide a reference for the protector,has made the beneficial attempt for the development of modern agriculture.