基于图像的植物叶片枯萎变形测量仿真研究

Image Based Plant Leaves Wither Deformation Measurement Simulation

针对植物吸收的水分过少,植物叶片中的细胞不饱满,将造成植物叶片的细胞液浓度特征和叶片形态特征发生萎缩特征失真。传统算法是采用图像的细胞液浓度特征和叶片形态特征进行叶片枯萎变形测量的,一旦特征失真,将造成植物叶片细胞液特征参数不准确,降低了植物叶片枯萎变形测量的准确率。为此,提出了一种形变特征参数算法的植物叶片枯萎变形测量方法。对采集的植物叶片图像进行增强处理,提取植物叶片边界像素特征,计算植物叶片枯萎变形参数,从而进行植物叶片枯萎变形测量。克服了传统算法的弊端。实验结果表明,利用改进算法进行植物叶片枯萎变形测量,提高了测量的准确率。

Research the accurate identification of plant withered levels based on image recognition.This paper put forward a deformation characteristic parameter algorithm to complete the identification of plant withered levels.After enhancing,plant leaf boundary pixels characteristics were extracted,to overcome the shortcomings of the traditional algorithm,The experimental results show that the improved algorithm can improve the identification accuracy.