Using computer vision to monitor germination time course of sunflower (Helianthus annuus L.) seeds
Using computer vision to monitor germination time course of sunflower (Helianthus annuus L.) seeds
复制标题
DOI：
10.15258/sst.2005.33.2.06
复制
发表时间：
2005-01-01
影响因子：
1.4
通讯作者：
Wagner, MH
中科院分区：
文献类型：
--
作者：
Ducournau, S;Feutry, A;Wagner, MH
用计算机控制系统监测向日葵种子的发芽时间进程。该系统集成了Jacobsen表，受控照明环境，摄像机和计算机。开发了控制图像记录和图像分析的软件。本文提出的用于检测和计数发芽种子的算法从两个方面进行了验证：1.首先，人类操作员独立读取图像，并将读取器之间的差异与计算机读取进行比较。然后，将计算机计数与直接在Jacobsen表上进行的发芽计数进行比较。测试整个设备（自动拍摄和连接到发芽系统的算法），以在20 ℃下绘制三批向日葵种子的发芽时间过程。详细的发芽曲线，允许一个完美的拟合概率模型和种子批次的比较。这些结果证实了人工视觉在种子质量评价中的巨大潜力。
A computer-controlled system was used to monitor the germination time course of sunflower seeds. The system integrates a Jacobsen table, a controlled lighting environment, a video camera and a computer. Software was developed to control image recording and image analysis. The algorithm retained for detecting and counting the germinated seeds was validated in two ways:1. First, human operators read images independently and the variability between readers was compared to the computer reading.2. Then, computer counts were compared to counts of germination carried out directly on the Jacobsen table.The whole equipment (automatic shooting and algorithm connected to the germination system) was tested to plot germination time courses of three sunflower seed lots at 20 degrees C. Detailed germination curves were obtained allowing a perfect fitting in a probit model and a comparison of the seed lots. These results confirm the high potential of artificial vision in quality evaluation of seeds.