Design and implementation of the maximum dimension algorithm for ice crystal particles recorded by 2D image probe

2019 International Conference on Meteorology Observations (ICMO) Pub Date : 2019-12-28 DOI:10.1109/ICMO49322.2019.9076592

Zepei Wu, Shuo Liu, Ling Yang, Delong Zhao, Zi‐Xin Xu, Zhipeng Yang

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引用次数: 2

Abstract

In order to solve the problem of calculating �� with different definitions of particles of arbitrary shapes and calculate the estimation of projection area caused by occlusion of 2D image probe photosensitive areas. This paper proposes a morphological preprocessing of the initial data and combines image spatial information and gray information algorithm to solve the problem of calculating �� with different definitions of particles and the problem of estimating the projected area. The experimental result shows that based on this algorithm, �� with different definitions of arbitrary shapes can be calculated, the occlusion problem of the photosensitive area can be solved, and the original particle shape is successfully restored, which has important meaning for our study in the fields of cloud physical characteristics analysis, atmospheric mode, and so on.

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二维图像探头记录冰晶颗粒最大维数算法的设计与实现

为了解决任意形状的不同定义粒子的计算问题，计算了二维图像探测光敏区域遮挡引起的投影面积估计。本文提出了对初始数据进行形态学预处理，结合图像空间信息和灰度信息算法，解决了不同粒子定义下的计算问题和投影面积估计问题。实验结果表明，基于该算法可以计算任意形状的不同定义，解决了光敏区域的遮挡问题，并成功恢复了原始粒子形状，这对我们在云物理特征分析、大气模式等领域的研究具有重要意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2019 International Conference on Meteorology Observations (ICMO)

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