Three-dimensional vibration vision measurement system and method based on variable density fringes

Abstract

The present invention relates to a variable density stripe-based three-dimensional vibration vision measuring system and method. The measuring system comprises variable density stripes and a visual imaging and processing system. The three-dimensional vibration measuring method includes the following steps that: the variable density stripes are mounted on the surface of a vibration structure to betested; the visual imaging and processing system is mounted on a fixing bracket, the imaging positions of the variable density stripes and the parameters of an imaging lens are adjusted, so that the variable density stripes can be imaged at the center position of an area array camera; and the measurement mode of the visual imaging and processing system is started so as to measure the vibration ofthe vibration structure. The system and method of the invention involve an algorithm and a process for processing the variable density stripe sequence, and can extract the three-dimensional displacement information of the structure from the variable density stripe sequence simply and efficiently.

Description

technical field [0001] The invention relates to the technical field of structural vision vibration measurement, in particular to a three-dimensional vibration vision measurement system and method based on variable density fringes. Background technique [0002] As a new measurement technology, machine vision measurement technology has attracted more and more research scholars' attention due to its characteristics of non-contact, high efficiency, high precision, and no load effect. Moreover, with the development of digital imaging technology and image processing technology, the imaging resolution and imaging speed of area array cameras have been greatly improved, which has led to the rapid development of machine vision measurement technology. This type of method generally uses an area array camera to continuously acquire and image the target pattern or natural features on the surface of the vibrating structure, and then uses different image processing techniques to realize the...

AI Technical Summary

Problems solved by technology

These current measurement methods have the following shortcomings: 1) The image processing algorithm used in extracting the two-dimensional displacement information of the image is relatively large in calculation, and has high requirements on the processing capacity of the processing module, making it difficult to achieve real-time measurement; 2) The current monocular vision measurement system generally can only realize two-dimensional dynamic displacement measurement parallel to the plane of the area array sensor. To achieve three-dimensional measurement, a binocular vision measurement system is required; 3) The current vision measurement system requires the space of the camera Coordinates are calibrated, the actual calibration steps are more complicated, and the measurement accuracy is affected by the parameter calibration accuracy

Images