燃烧室雾化场全息图像分割方法研究

Study on a Method for Segmentation of Atomization Field Holography in a Combustion Chamber

通过分析不同情况下雾化场全息图像中粒子数随阈值变化的规律,建立了基于粒子数变化的阈值估计算法,并给出不同情况下最优阈值的选择依据。针对粒径20μm以下的雾化场全息图像,选择粒子数随阈值变化的一阶微分最小值所对应的阈值为最优阈值。该方法已应用于超燃冲压发动机燃烧室雾化场实际测量工作中,并获得了较好的结果。

By counting the detected particles in atomization field holographic image at different threshold levels, a threshold estimation algorithm, which is based on detected particle number varying with the threshold level, is modeled and the rules for optimizing threshold are generalized. For particle field holography with particle size less than 20 μm, the position corresponding to the smallest value in the difference curve of detected particle number varying with threshold levels, is defined as the best threshold. The results from a practical experiment show that this method can work well under such conditions.