Due to the serious degradation of the image obtained by the optical detector in the water mist environment, the scattering absorption rate of the water mist environment on the electromagnetic wave band and the scattering effect of the water mist particles on the electromagnetic wave are analyzed, and the electromagnetic wave is analyzed, and a model for nearinfrared polarization imaging to eliminate the influence of water mist is established. Based on the polarization characteristics of the target transmitted light and the scattered light of the water mist particles under water mist conditions, the process of image degradation is reversed, the parameters of the traditional polarization and defogging algorithm are optimized, and the target image that has not passed the water mist environment is restored. Experimental analysis shows that this method has a good effect in removing water mist, and can more accurately reflect the polarization characteristics of the target and the water mist scene, which is of great significance for infrared polarization target detection.
The parametric model method is the main method of modern power spectrum estimation. Power spectrum estimation based on AR model is one of the common methods of parametric model method. In this paper, the application of the Burg method of AR model in laser Doppler tachymetry is studied. The spectrum estimation of the AR model based on the Burg algorithm is used to analyze the laser Doppler signal with a speed range of 10~100m/s. An AR model with relative frequency error within the range of actual engineering requirements is established. The analysis results show that the spectral estimation of the AR model based on the Burg algorithm has high extraction accuracy of Doppler shift.
In order to solve the problems of real-time measurement of online high-speed wire diameter data is difficult and the measurement accuracy is low, this paper proposes a sub-pixel detection algorithm for wire diameter based on machine vision, and builds a real-time measurement system. On the basis of image preprocessing, the Otsu-based automatic threshold canny operator is first used for coarse pixel-level edge positioning; then on the basis of the traditional Zernike moment, the step grayscale difference between the background and the target is used, combined with the Otsu algorithm and the iterative method to automatically determine the step grayscale threshold, and realize the Zernike moment subpixel edge extraction of the adaptive threshold. The least squares method is used to fit the extracted edge points and obtain the diameter of the wire. After experimental analysis and comparison, the accuracy of the data obtained by this method meets the requirements of on-site accuracy and is expected to be applied to high-speed wire production sites.
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