Image processing for identification of vapor phase on a heating surface under the nonstationary boiling conditions

Abstract

The paper presents a two-step approach to identify bubbles and their properties such as average sizes, and nucleation frequency in a two-phase liquid flow near the heating surface under the nonstationary boiling conditions. The first step of the approach, namely bubble identification, is based on the conventional cross-correlation algorithm applied to an experimental image acquired from the high-speed camera using the bubble image templates manually assigned in advance. Further post-processing step uses temporal identified bubble data to evaluate bubble dynamic properties and track the evolution of local vaporization sites on the heating surface.

Keywords

• bubble identification
• bubble image
• image clustering
• cross-correlation
• surface boiling.