High-speed vision measurement of vibration based on an improved ZNSSD template matching algorithm

• DOI: 10.1080/21642583.2021.2024099
• Publication Date: 2022-01-13T07:45:38Z
• Authors: Jian Luo; Bingyou Liu; Pan Yang; Xuan Fan
• Keywords: Subpixel rendering; Template matching; Normalization; Pyramid (geometry)

This paper proposes an improved zero-mean normalization sum of squared differences (ZNSSD) algorithm to solve the problem inability traditional structural measurement extract high-frequency vibration signals. In proposed technique, high-speed image sequence target is captured by a camera. Then, ZNSSD template matching with subpixel accuracy introduced process images in computer. Additionally, modified search algorithm, based on pyramid (ZNSSD-P), significantly reduce computation time and increase efficiency. jumping (J-ZNSSD-P) further improve efficiency ZNSSD-P algorithm. Vibration signals were extracted Grating Ruler Motion Platform sound barriers. Results show that signal extraction method has high precision