Optimized Bisection Image Processing for Wave Identification in Two-Phase Flow on Narrow Gap Rectangular Channel
Penulis/Author
NUR RAHMAD YUSUF (1); Prof. Dr. Suprapto, M.I.Kom. (2); Prof. Dr. Ir. Jazi Eko Istiyanto, M.Sc. (3); Prof. Dr. Eng. Ir. Deendarlianto, S.T., M.Eng. (4)
Tanggal/Date
2025
Kata Kunci/Keyword
Abstrak/Abstract
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
Rumpun Ilmu
Ilmu Komputer
Bahasa Asli/Original Language
English
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
Optimized Bisection Image Processing for Wave Identification in Two-Phase Flow on Narrow Gap Rectang (1).pdf