KL情報量を用いた噴流画像解析手法の提案

抄録

In order to analyze the macroscopic characteristics of a gas jet or liquid fuel spray based on the visualized image, it is necessary to separate the jet region from the background to grasp the outline. In this study, we proposed a method to determine the outline of jet based on the difference in the probability density functions (PDF) of brightness in a test section. The difference in PDFs between jet region and background was quantified with KL divergence (Kullback-Leibler divergence). As the result of analysis into Schlieren image of hydrogen jet, we can obtain reasonable penetration length and jet volume by selecting an appropriate test section size for PDF calculation and a threshold level of KL divergence.