Dr. Minglei Jin Profile

Dr. Minglei Jin

at Beijing Institute of Technology

SPIE Involvement:

Author

Publications (4)

Proceedings Article | 3 November 2016 Paper

Ripple FPN reduced algorithm based on temporal high-pass filter and hardware implementation

Yiyang Li, Shuo Li, Zhipeng Zhang, Weiqi Jin, Lei Wu, Minglei Jin

Proceedings Volume 10030, 100301D (2016) https://doi.org/10.1117/12.2245953

KEYWORDS: Detection and tracking algorithms, Field programmable gate arrays, Thermography, Infrared radiation, Linear filtering, Image processing, Nonuniformity corrections, Infrared imaging, Imaging systems, Sensors

Read Abstract +

Proceedings Article | 5 August 2015 Paper

Temporal high-pass non-uniformity correction algorithm based on grayscale mapping and hardware implementation

Minglei Jin, Weiqi Jin, Yiyang Li, Shuo Li

Proceedings Volume 9622, 962210 (2015) https://doi.org/10.1117/12.2191836

KEYWORDS: Detection and tracking algorithms, Nonuniformity corrections, Image processing, Field programmable gate arrays, Expectation maximization algorithms, Imaging systems, Thermography, Sensors, Evolutionary algorithms, Scene based nonuniformity corrections

Read Abstract +

Proceedings Article | 24 November 2014 Paper

Wide-band gas leak imaging detection system using UFPA

Wei-qi Jin, Jia-kun Li, Xiong Dun, Minglei Jin, Xia Wang

Proceedings Volume 9301, 930102 (2014) https://doi.org/10.1117/12.2070654

KEYWORDS: Imaging systems, Sensors, Infrared imaging, Infrared sensors, Digital imaging, Linear filtering, Gases, Long wavelength infrared, Detection and tracking algorithms, Channel projecting optics

Read Abstract +

The leakage of toxic or hazardous gases not only pollutes the environment, but also threatens people's lives and property safety. Many countries attach great importance to the rapid and effective gas leak detection technology and instrument development. However, the gas leak imaging detection systems currently existing are generally limited to a narrow-band in Medium Wavelength Infrared (MWIR) or Long Wavelength Infrared (LWIR) cooled focal plane imaging, which is difficult to detect the common kinds of the leaking gases. Besides the costly cooled focal plane array is utilized, the application promotion is severely limited. To address this issue, a wide-band gas leak IR imaging detection system using Uncooled Focal Plane Array (UFPA) detector is proposed, which is composed of wide-band IR optical lens, sub-band filters and switching device, wide-band UFPA detector, video processing and system control circuit. A wide-band (3µm~12µm) UFPA detector is obtained by replacing the protection window and optimizing the structural parameters of the detector. A large relative aperture (F#=0.75) wide-band (3μm~12μm) multispectral IR lens is developed by using the focus compensation method, which combining the thickness of the narrow-band filters. The gas leak IR image quality and the detection sensitivity are improved by using the IR image Non-Uniformity Correction (NUC) technology and Digital Detail Enhancement (DDE) technology. The wide-band gas leak IR imaging detection system using UFPA detector takes full advantage of the wide-band (MWIR&LWIR) response characteristic of the UFPA detector and the digital image processing technology to provide the resulting gas leak video easy to be observed for the human eyes. Many kinds of gases, which are not visible to the naked eyes, can be sensitively detected and visualized. The designed system has many commendable advantages, such as scanning a wide range simultaneously, locating the leaking source quickly, visualizing the gas plume intuitively and so on. The simulation experiment shows that the gas IR imaging detection has great advantages and widely promotion space compared with the traditional techniques, such as point-contact or line-contactless detection.

Proceedings Article | 5 December 2012 Paper

SBNUC based on constant statistics for VOx uncooled IRFPA and implementation with FPGA

Shudi Wei, Minglei Jin, Weiqi Jin, Chao Xu, Kang He

Proceedings Volume 8562, 856215 (2012) https://doi.org/10.1117/12.2001180

KEYWORDS: Nonuniformity corrections, Infrared imaging, Infrared radiation, Thermography, Imaging systems, Field programmable gate arrays, Image processing, Digital image processing, Statistical analysis, Optimization (mathematics)

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years