HUD Image Vibration Detection on Improved Edge Detection and Corner Extraction

Abstract

HUD (Head Up Display) image vibration detection requires the real-time performance. In this paper, after analyzing different algorithms for the movement estimation of the HUD, a new vibration detection algorithm is studied based on feature extraction. In the algorithm, after image smoothing, an improved Canny operator is proposed for the edge detection, then a proposed corner detection method is applied to extract the feature points on edges. The testing results prove that the studied algorithm works in real-time and with high precision.