基于视觉的甜瓜形态信息的无损获取

Acquirement of Melon Morphologies through High-precision and Non-destructive Vision Measurement

以甜瓜果实的直径微变测量为目标,提出了基于数学形态学和改进的spline插值的图像处理算法,开发了基于视觉的高分辨无损检测系统,实现了甜瓜面积和纵横径等表征形态信息的高精度非接触提取。该算法运算简单,相比传统边缘检测算法更易于提取出较为理想的边缘信息,为揭示甜瓜形态与关键环境因子间的组合响应关系和时空变化特征提供了理论依据。

For the purpose of measuring the micro changes of morphological parameters of melon organ,this paper put forth a new algorithm based on mathematical morphology and spline interpolation to obtain the phenotype information of melon such as area and horizontal and vertical diameter and developed a high-resolution non-destructive and contactless measuring system based on vision processing to get the projection area of melon and its diameter.The algorithm is easy to carry out,and can get more ideal edge information than some traditional algorithms.It supplies theoretical basis for revealing the combined response relationship and temporal and spatial variation character between melon morphologies and key environmental factors.