Paper
5 August 2015 Detection technology of polarization target based on curvelet transform in turbid liquid
Su Zhang, Jin Duan, Qiang Fu, Juntong Zhan, Wanzhuo Ma
Author Affiliations +
Abstract
To suppress the interference of the target detecting in the turbid medium, a kind of polarization detection technology based on Curvelet transform was applied. This method firstly adjusts the angles of polarizing film to get the intensity images of the situations at 0°,60° and 120°, then deduces the images of Stokes vectors, degree of polarization (DOP) and polarization angle (PA) according to the Mueller matrix. At last the DOP and intensity images can be decomposed by Curvelet transform to realize the fusion of the high and low coefficients respectively, after the processed coefficients are reconstructed, the target which is easier to detect can be achieved. To prove this method, many targets in turbid medium have been detected by polarization method and fused their DOP and intensity images with Curvelet transform algorithm. As an example screws in moderate and high concentration liquid are presented respectively, from which we can see the unpolarized targets are less obvious in higher concentration liquid. When the DOP and intensity images are fused by Curvelet transform, the targets are emerged clearly out of the turbid medium, and the values of the quality evaluation parameters in clarity, degree of contract and spatial frequency are prominently enhanced comparing with the unpolarized images, which can show the feasibility of this method.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Su Zhang, Jin Duan, Qiang Fu, Juntong Zhan, and Wanzhuo Ma "Detection technology of polarization target based on curvelet transform in turbid liquid", Proc. SPIE 9622, 2015 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 96220W (5 August 2015); https://doi.org/10.1117/12.2190531
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KEYWORDS
Image fusion

Polarization

Target detection

Liquids

Image processing

Polarizers

Detection and tracking algorithms

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