Optimized Bisection Image Processing for Wave Identification in Two-Phase Flow on Narrow Gap Rectangular Channel

Accurate wave identification in two-phase flows is critical for assessing cooling processes in narrow rectangular channels, especially in post-accident scenarios such as those at Three Mile Island and Fukushima. This study introduces a novel image processing technique that enhances wave identification through a sequential thresholding and image bisection methods. Unlike conventional methods, this method iteratively adjusts thresholds, optimizing image segmentation for low-quality images in real-time applications. Examination on 3000 jpeg images in the resolution 592 x 192 show that proposed method has significant improvement. The proposed approach achieves significant improvements in wave identification accuracy, with RMSE reductions ranging from 75.45 to 94.50, enabling more precise measurements of film thickness and wave interface behavior. These advancements support enhanced real-time monitoring for nuclear reactor cooling systems, offering substantial contributions to safety protocols during critical events. © This article is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.