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Real-Time Adaptive Background-Oriented Schlieren Imaging Algorithm with Spatiotemporal Variability Using Computer Vision and Particle Image Velocimetry

2024International Journal of Sciences: Basic and Applied Research (IJSBAR)

Dhruv Hegde, Tejash Gupta, Vikram Haran

Abstract

Advanced BOS computational system integrating wavelet transformations, Kalman filtering, and adaptive CLAHE contrast enhancement. Demonstrated 30.6% improvement in edge detection sensitivity, 12.5% in resolution enhancement, and 11% in noise reduction versus OpenCV/OpenPIV baselines — enabling real-time mobile fluid flow visualization.

Key Results

+30.6% edge-detection sensitivity vs. OpenCV/OpenPIV baseline
+12.5% resolution enhancement via multi-scale wavelet analysis
+11% noise reduction with Kalman-filtered reconstruction
Real-time performance on mobile hardware
BOS ImagingComputer VisionPIVWaveletsKalman Filtering