A5005187506- Advanced Measurement and Metrology Techniques
- Optical measurement and interference techniques
- Image and Signal Denoising Methods
- Image Processing Techniques and Applications
- Sensor Technology and Measurement Systems
- Optical Systems and Laser Technology
- Advanced Vision and Imaging
- Structural Health Monitoring Techniques
- Advanced Sensor Technologies Research
- Advanced Image Processing Techniques
- Advanced Image Fusion Techniques
- Image and Object Detection Techniques
- Thermography and Photoacoustic Techniques
- Magnetic Bearings and Levitation Dynamics
Guizhou University
2021-2025
The linear and angular accelerometers are widely used to measure the basic dynamic parameters in various aspects. However, current calibration methods for determining their sensitivities quite independent. This study investigates a monocular vision method with excitation generation device, which can simultaneously determine sensitivities. utilizes improved Lucy–Richardson edge enhancement line segment detection extraction improve accuracy. Comparison experiments conventional show that...
Low-frequency vibrations exist widely in the natural environment and human activities. tri-axial vibration sensors are enormously applied fields of seismic monitoring, building structure health aerospace navigating, etc. Their sensitivity calibration accuracy directly determines whether their applications can work reliably. Although laser interferometry recommended by International Standardization Organization (ISO) is commonly used to achieve calibration, it suffers from shortages...
The low-frequency vibration sensors have been widely utilized in the different applications of precision motion control and measurement. In order to guarantee performance these applications, heterodyne laser interferometry (TLI) recommended by ISO is commonly applied determine sensitivities sensors. However, original interference signal acquisition has require a high sampling rate, which results calibration significantly difficult be accomplished. Although directly output displacement...
On account of its characteristics non-contact, simplicity, portability, and high accuracy, machine vision has gradually become one the most flexible effective methods for measuring vibration parameters. When using high-frequency measurement, captured images inevitably suffer from blurring. To ensure effectiveness traditional measurement based on clear sequential images, image restoration techniques are required to deblurring blurred images. However, this method drawbacks such as complex...
Noise is always inevitably appeared in images, which directly affects the performance of machine vision applications. Currently, commonly used denoising methods can be divided into three strategies: filtering-based, model-based, and deep learning-based methods. However, they are difficult to get considerable accuracy efficiency simultaneously. In this study, a novel method based on autocorrelation function investigated, improve image quality by utilizing independence useful periodic...
The angular vibration sensors must be calibrated regularly to ensure the precise measurement of dynamic angle motion in various engineering applications such as attitude estimation, inertial navigation, and machine automation. Currently, high-accuracy calibration has been developed medium high-frequency range. However, it is difficult accomplish over a wide low-frequency band because current exciter cannot generate high-dynamic low-distortion excitation acceleration for sensors. Aiming at...
The angular vibration sensors must be calibrated regularly to ensure the precise measurement of dynamic angle motion in various engineering applications such as attitude estimation, inertial navigation, and machine automation. Currently, high-accuracy calibration has been developed medium high-frequency range. However, it is difficult accomplish over a wide low-frequency band because current exciter cannot generate high-dynamic low-distortion excitation acceleration for sensors. Aiming at...
Noise is always inevitably appeared in images, which directly affects the performance of machine vision applications. Currently, commonly used denoising methods can be divided into three strategies: filtering-based, model-based, and deep learning-based methods. However, they are difficult to get considerable accuracy efficiency simultaneously. In this study, a novel method based on autocorrelation function investigated, improve image quality by utilizing independence useful periodic...