Visual vibration amplification method, visual vibration detection method and visual vibration detection system based on morphological component analysis

Abstract

The invention discloses a visual vibration amplification method, a visual vibration detection method and a visual vibration detection system based on morphological component analysis, and belongs to the technical field of computer vision. The method comprises: acquiring a video file comprising a target object, and determining a region of interest of the target object in each frame of image in the video file; adopting a quality factor adjustable wavelet dictionary and a discrete sine and cosine dictionary to respectively represent a structure component and a texture component of each frame of video; adopting a threshold selection algorithm based on generalized Gaussian density distribution to determine thresholds of the structural components; separating an image structure component and a texture component by adopting a self-adaptive MCA; according to the separated structure components, in combination with the Euler visual angle principle, achieving amplification of micro-vibration signals, reconstructing an amplified video, meanwhile, extracting visual vibration signals for the structure components, and achieving measurement of multiple vibration frequencies.

Description

Technical field [0001] The present invention belongs to the field of computer visual technology, in particular, to a visual vibration, detection method, and system based on morphological component analysis. Background technique [0002] Frequency information is an important basis for vibration analysis and is widely used in mechanical or building structural health testing and quality testing. In general, the vibration frequency is typically detected by analyzing the vibration signal of the object. In the field of vibration measurements, the subjects are often excited by different excitation sources, and are manifested in the spectrum as a mixture of multiple frequencies. [0003] In a conventional vibration detection, the frequency of measuring the measured object is mainly to obtain an acceleration signal on the subject surface adhesive acceleration sensor, obtain the displacement signal according to the acceleration signal, for the displacement signal, and obtain the spectrum o...

AI Technical Summary

Problems solved by technology

[0003] In the traditional vibration detection, the method of measuring the frequency of the measured object is mainly to paste the acceleration sensor on the surface of the measured object to obtain the acceleration signal, obtain the displacement signal according to the acceleration signal, and obtain the frequency spectrum of the measured object according to the displacement signal. There are obvious deficiencies in the traditional vibration detection method: due to the weight of the acceleration sensor itself, it is difficult to detect the tubular object, and the existence of the acceleration sensor itself will affect the natural frequency of the measured object; and the sensor sticking process is time-consuming and labor-intensive. sensor fusion

However, due to the aforementioned flaws in the phase-wrapping or unwrapping algorithm, the extracted vibration waveform is inaccurate, which affects the accuracy of micro-vibration frequency measurement, especially when there are multiple mixed frequencies in the system, it is easier to detect non-existing anomalies frequency

[0007] To sum up, the existing vibration measurement technology cannot effectively solve the measurement problem of micro-amplitude vibration.

Images