基于智能算法的超高速撞击碎片云图像分析

Analysis of image of ahypervelocity impact debris cloud based on the intelligent algorithm

本文运用opencv平台中的智能算法对超高速撞击碎片云图像进行处理,提取图像中碎片云的特征进行分析,结合后板的撞击损伤情况(如损伤面积等),对碎片云中产生有效损伤的碎片比例进行估计。通过实验,最终得到碎片云的长径比2.02,后板的损伤率0.66%,以及后板有效损伤面积2.877 3 cm,经推算得到产生有效损伤的碎片云比例约为42.17%。

In this paper,the intelligent algorithm in opencv platform is used to process the image of hypervelocity impact debris cloud image,extract the characteristics of the image debris cloud for analysis,and then combined with the impact damage of the rear plate(such as the damage area),estimate the proportion of debris that can produce effective damage in the debris cloud. Through experiments,we finally get the length-diameter ratio of debris cloud 2. 02,the damage rate of the rear plate 0. 66%,and the effective damage area of the rear plate 2.8773 cm. By calculating,we get that the proportion of debris cloud which produces effective damage is about 42.17%.