Building structure displacement measurement method based on dynamic visual sensor DVS

Abstract

The invention relates to a building structure displacement measurement method based on a dynamic visual sensor (DVS), which belongs to the field of visual measurement, and comprises an event stream processing method: intercepting event streams in a short period of time by adopting a method of accumulating according to time, and accumulating the event streams into pictures to be output; image de-noising: if some noisy points may exist in the image accumulated by the event stream, carrying out de-noising by adopting mean filtering; edge detection: carrying out automatic threshold segmentation on the denoised image, and extracting the edge of a target circle by adopting an improved adaptive threshold canny operator; positioning a circle through Hough transform: positioning the circle through Hough transform based on gradient information, and filtering out miscellaneous circles according to the radius and position of the circle; and scale transformation: converting the pixel displacement into physical displacement according to the millimeter / pixel conversion factor. The dynamic vision sensor is adopted, the problem of motion blur caused by an RGB camera is solved, the data size is small, the processing speed is high, and the direction is provided for monitoring the displacement of the building structure in real time.

Description

technical field [0001] The invention belongs to the field of visual measurement, in particular to a method for measuring the displacement of a building structure based on a dynamic visual sensor DVS. Background technique [0002] Earthquakes do a lot of damage to buildings and cause damage to the building structure to a certain extent. The structural displacement of a building is one of the factors that measure the health of a building. At present, the most researched is that the camera keeps still to shoot the vibration of the building to obtain the vibration displacement of the building, but people pay less attention to the monitoring of the vibration displacement of the building in the epicenter shaking environment, and for the house, the shaking amplitude of the epicenter is It has the most reference value, it can truly reflect the damage degree of the building under the shaking environment, and the present invention is based on the shaking environment, and uses a dynami...

AI Technical Summary

Problems solved by technology

[0003] The current cameras can be divided into RGB cameras and event cameras. RGB cameras are also called traditional cameras here. At present, traditional cameras are basically used in the field of visual measurement, but this traditional camera is only suitable for static shooting of building vibrations. Once the camera Also in a jittering environment, the captured pictures may have motion blur problems, resulting in large measurement errors

The traditional camera is non-continuous shooting, the information output is incoherent, the dynamic range is limited, and the output information is limited when the light is too bright or too dark, and in practical applications, we often only pay attention to the movement of the target object, and do not need to pay attention to the background situation, while the traditional camera Full-frame images will be output, which causes a lot of data redundancy, takes up more storage space, and also affects processing speed

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