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.
An image enhancement method for polarized images in hazy weather based on the segmentation of depth image is proposed in this paper. Using the depth information which produced by the polarization-based restoration algorithm for haze-degenerated images, we segment the polarized images, and apply local histogram modification according to the result of the segmentation. The test results show that the algorithm can effectively improve the contrast of the distant target.
Visible light imaging is one of the major means of current imaging. But the disadvantages of heavily depending on light conditions greatly limit visible light imaging. How to detect targets effectively under bad illumination conditions is a valuable research direction. Compared with the intensity imaging, the technology of polarization imaging has many advantages and extends the image information from three-dimension (light intensity, spectrum and space) to multi-dimension (the degree of polarization, angle of polarization, the polarization ellipticity and direction of rotation are added). In this paper, the method using polarization imaging technique to improve the ability of target detection and imaging quality under bad illumination conditions is proposed. Experimental results have verified the insensitivity of polarization imaging to illumination and the adaptability of polarization imaging realized the effective detection of the target and improved the target imaging quality under bad illumination conditions.
According to problems of the intensity imaging target detection on water surface in foggy weather such as the indistinction of the target and greatly loss of the target detail, a target detection method based on the target polarization characteristics for water surface target in foggy weather is proposed in this paper. To validate the method’s effectiveness, the indoor experiment is performed by using the simulation environment in foggy weather and the outdoor experiment is performed by using the water surface real fog environment. A lot of different intensity images and polarization images are got and then analysed and compared. The experimental results demonstrate that the polarization imaging detection can effectively obtain the polarization information of targets on water surface, and we can detect the water surface targets in foggy weather by polarization information retrieving and the target information restoring.
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