Paper
24 January 2019 Calculation and hue mapping of AoP in polarization imaging
Bin Feng, Rongli Guo, Faqiang Zhang, Feng Zhao, Yue Dong
Author Affiliations +
Proceedings Volume 11052, Third International Conference on Photonics and Optical Engineering; 110521V (2019) https://doi.org/10.1117/12.2523643
Event: The International Conference on Photonics and Optical Engineering, 2018, Xi'an, China
Abstract
The value range of AoP (angle of polarization) is physically limited to [0, π]. However, for most programing languages such as Matlab and C/C++, the range of inverse tangent function is commonly limited to [-π/2, -π/2]. Therefore, this paper derives a practical formula for AoP calculation based on the inverse tangent function of common programming languages. Because AoP is a periodical function, the conventional gray image cannot effectively display the AoP levels. The hue component of HSV (hue, saturation and value) color space is also periodical. Therefore, this paper maps the AoP to hue component and then transforms HSV space to RGB space. Different AoP reference orientations will produce different false color displays. In our experiment, polarization images of a fishbowl scene are captured by a DoFP (division of focal plane) polarization camera, and a sequence of false RGB images with different reference orientations are produced.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bin Feng, Rongli Guo, Faqiang Zhang, Feng Zhao, and Yue Dong "Calculation and hue mapping of AoP in polarization imaging", Proc. SPIE 11052, Third International Conference on Photonics and Optical Engineering, 110521V (24 January 2019); https://doi.org/10.1117/12.2523643
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Cited by 1 scholarly publication.
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KEYWORDS
Polarization

RGB color model

Human vision and color perception

Computer programming

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