基于物联网连续图像的文冠果初生长

Early Growth of Xanthoceras sorbifolia Based on the Internet of Things and Continuous Images

以生物燃油原料植物文冠果(Xanthoceras Sorbifolia Bunge)为例,使用最初一个月的物联网图像数据,首先探讨了植物体像素抽取算法,然后根据文冠果图像逐日像素变化来分析植物的生长过程,期望为未来物联网图像的使用提供一些方法性指导;同时也为早期文冠果培育提供基础技术参考。结果表明:①根据图像中文冠果所占据的像素数变化来研究植物动态规律是一个很好的办法;②可以利用HIS表色系中色调H的分布区间来分割图像中的前景、背景;③理查德曲线很好的模拟了初始月份文冠果的像素生长过程。

A study was performed to calculate plant pixels of images of seedling growth in the initial month using Xanthoceras sorbifolia as study objects,which is a kind of raw material for biofuel.The dynamic regularities of plant growth were analyzed in terms of the changes in the number of plant pixels in order to provide methodological guidance for the further use of the internet of things based on images and some reference data for cultivation of X.sorbifolia seedlings.Results show that it is a good way to study the dynamic regularities of plant growth according to the changes in the pixel number based on images.The foreground and background of color plant images could be well segmented by the distribution range of hue H in HIS color system.Pixel growth for X.sorbifolia seedlings in the initial month could be well simulated by Richard curve.