The Analysis of Gas-liquid Two-phase Flow Patterns Based on Variation Coefficient of Image Connected Regions and Line-Correlation Algorithm

AbstractFive typical flow patterns are shot in the horizontal pipe test section by high-speed photography technology. Then the connected regions of flow pattern images are obtained. The connected region is different from the gray texture. Connectivity characteristics are morphological characteristics of the images, no influence by light and shade of the images, can explore deeply the image structural information. To analysis result, the influence of the standard deviation and the average of five typical flow patterns is eliminated through the combination of the images, the characteristics of four kinds of coefficient of variation and the statistical characteristics of the two connected regions. And the flowing mechanism of gas-liquid two-phase flow is more deeply characterized. From simple points and complex point, the gas-liquid two-phase flow patterns are comprehensively analyzed by the combination of two characteristic parameters of the straightness (straight line similarity and intermittent degrees)