Current non-intrusive bubble parameter measurement techniques fail to consider bubble depth when extracting parameters from 2-D images, resulting in inaccurate measurements. A bubble depth determination method is therefore proposed here that uses a correlation between depth and image focus to estimate depth using the edge intensity gradient (“blur”) with simultaneous depth calibration. Images of bubbles at various depths in two-phase and three-phase systems were analysed to correlate bubble depth and blur. To increase the reliability of the methodology across various fluids and conditions, an in-situ calibration method is demonstrated. Bubble depth can be correlated from blur with a fair degree of reliability and the calibration procedure was effective in validating the bubble depth model, even across differing fluid opacity, bubble concentration, and fluid conditions. This article outlines a versatile and robust system that requires a single camera and which enables per image calibration to compensate for experimental configurational changes, making the technique suitable for variable applications.

从二维图像中提取参数时，当前的非侵入式气泡参数测量技术无法考虑气泡深度，从而导致测量结果不准确。因此，在此提出了气泡深度确定方法，该方法使用深度和图像焦点之间的相关性来利用边缘强度梯度（“模糊”）来估计深度，同时进行深度校准。分析了两相和三相系统中不同深度的气泡图像，以关联气泡深度和模糊。为了提高该方法在各种流体和条件下的可靠性，需要在现场进行演示了校准方法。气泡深度可以通过模糊与相当程度的可靠性进行关联，并且即使在不同的流体不透明度，气泡浓度和流体条件下，校准程序也可以有效地验证气泡深度模型。本文概述了一个通用而强大的系统，它需要一个摄像头，并且能够对每个图像进行校准以补偿实验配置的变化，从而使该技术适用于可变应用。