Paper
14 December 2015 A preliminary study on the identification of vehicle paint chip based on optical coherence tomography
Ning Zhang, Zhihui Li, Xiaojing Xu, Wei Huang, Lei Xu, Jingjing Guo, Lanchi Xie
Author Affiliations +
Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 981527 (2015) https://doi.org/10.1117/12.2211943
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
Vehicle paint chip is a common evidence that plays a significant role in many criminal cases. This paper introduced a novel imaging technology - optical coherence tomography (OCT), which can realize non-invasive, rapid, high-resolution and cross-sectional imaging for the identification of vehicle paint chips. In this paper, a 1310nm swept-source OCT system was adopted to implement the paint imaging. The results show that, compared with conventional spectroscopy and SEM methods, OCT technology can directly obtain the tomographic images of the paints without slicing. In addition, the optical attenuation properties were analyzed to provide a new feature for separating different paint samples. The OCT technology and traditional methods can be combined to further narrow the scope of investigation, providing a comprehensive means to determine or rule out the suspect vehicles.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ning Zhang, Zhihui Li, Xiaojing Xu, Wei Huang, Lei Xu, Jingjing Guo, and Lanchi Xie "A preliminary study on the identification of vehicle paint chip based on optical coherence tomography", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 981527 (14 December 2015); https://doi.org/10.1117/12.2211943
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KEYWORDS
Optical coherence tomography

Signal attenuation

Imaging systems

Tomography

Scanning electron microscopy

Statistical analysis

Coating

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