In this paper, a novel non-contact optical measurement method based on the principle of laser self mixing interference for measuring liquid concentration is proposed. The optical path difference caused by changing the concentration of the solution, we found the phenomenon of waveform separation in the laser self-mixing vibration signal. In this system, simulation results of different solution concentrations are obtained based on the feature that each longitudinal mode is independent and do not interfere with each other in the multi-longitudinal mode laser, which successfully verified the corresponding relationship between the degree of waveform separation and the concentration of the solution.
To solve the problem that infrared dim small targets are difficult to be detected and tracked under complex background,this paper proposes a method based on the fusion of Pipeline Filter and Kernelized Correlation Filter.First, preprocess the obtained image sequence to reduce the influence of complex background on target detection; then, detect dim small infrared moving targets based on Background Prediction and Pipeline Filter;Finally,track the targets by Kernelized Correlation Filter which is initialized by the obtained detection information.To deal with the interference caused by the lens moving, the target position is predicted in the process of targets tracking.The algorithm is verified by the constructed infrared dim target data set. The results show that the proposed algorithm has better robustness and realtime performance, and the tracking effect is obvious.
To overcome the draw back of traditional false color fusion methods for polarization images , a new false color fusion method is proposed in this paper.Firstly, all of the polarization parameter images are obtained by polarization information analysis.Then the robustness of the obtained polarization information is estimated by the spatial distribution characteristics of the polarization angle. Finally, an alternate mapping for the strong polarization characteristic region ( the target region) and the noise region (the background region) is accomplished.The experimental results show that the proposed method has good quality and is easy to be further segmented and identified.
Aiming at the problem of the low contrast between target and background in the detected UAV target intensity images, a low-speed and small UAV targets detection and tracking method based on polarization imaging detection is proposed. Based on the analysis of the polarization imaging characteristics of low-speed and small UAV targets, through polarization image analysis, single-frame detection based on spatial filtering and adaptive threshold segmentation, continuous frame target trajectory association based on spatiotemporal information, and improved KCF algorithm Target tracking and other processing processes have realized the effective detection and tracking of low-speed and small UAV targets.
The spatially modulated full polarization imaging technology can simultaneously acquire the target full polarization parameter, and the spectral aliasing and interference intensity existing in the polarization information demodulation result in low spatial resolution and false information in the frequency domain reconstruction target image. The polarization component images are reconstructed and restored by selecting filters of different bandwidths and matching the adaptive filters. The experimental results show that under different filter bandwidths, the system exhibits different modulation spectrum characteristics and is matched by filters. The design improves the image reconstruction restoration effect and provides reference for polarization detection and analysis research.
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