Dr. Bingcheng C. Li Profile

Dr. Bingcheng C. Li

Chief Technologist, Systems Solution at Lockheed Martin Corp

SPIE Involvement:

Conference Program Committee | Author

Publications (33)

Proceedings Article | 14 June 2023 Presentation + Paper

Connected spectrogram graph fitting and random optimization combined time frequency analysis

Bingcheng Li

Proceedings Volume 12535, 125350A (2023) https://doi.org/10.1117/12.2663957

KEYWORDS: Signal to noise ratio, Windows, Time-frequency analysis, Signal processing, Fourier transforms, Frequency modulation, Tunable filters, Mathematical optimization, Error analysis, Sampling rates

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Proceedings Article | 12 June 2023 Paper

Modified Hausdorff distance and diffusion equation evolution combined fast manifold Kmeans

Bingcheng Li

Proceedings Volume 12538, 125381G (2023) https://doi.org/10.1117/12.2664124

KEYWORDS: Diffusion, Data conversion, Distance measurement, Transformers, Data mining, Biomedical applications, Analytical research, Tunable filters, Object detection, Lithium

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Proceedings Article | 27 May 2022 Presentation + Paper

Multiple order difference based radio frequency (RF) signal processing

Bing Li

Proceedings Volume 12108, 1210808 (2022) https://doi.org/10.1117/12.2619066

KEYWORDS: Signal to noise ratio, Signal processing, Radar, Doppler effect, Target detection, Phase shift keying, Hough transforms, Frequency modulation, Error analysis, Radon

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Proceedings Article | 27 May 2022 Presentation + Paper

Voronoi diagram based handwritten word segmentation

Bingcheng Li

Proceedings Volume 12101, 1210109 (2022) https://doi.org/10.1117/12.2621699

KEYWORDS: Image segmentation, Image filtering, Binary data, Analytical research, Optical character recognition, Lithium, Digital filtering, Associative arrays

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SPIE Journal Paper | 24 January 2022

Application of multidomain sensor image fusion and training data augmentation for enhanced CNN image classification

Ferris Arnous, Ram M. Narayanan, Bingcheng Li

JEI, Vol. 31, Issue 01, 013014, (January 2022) https://doi.org/10.1117/12.10.1117/1.JEI.31.1.013014

KEYWORDS: Image fusion, Image sensors, Sensors, Image classification, Data fusion, Image enhancement, Signal to noise ratio, Lithium, Image processing, Synthetic aperture radar

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Proceedings Article | 12 April 2021 Presentation + Paper

Application of multidomain data fusion, machine learning and feature learning paradigms towards enhanced image-based SAR class vehicle recognition

Ferris Arnous, Ram Narayanan, Bing Li

Proceedings Volume 11742, 1174209 (2021) https://doi.org/10.1117/12.2588307

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Proceedings Article | 12 April 2021 Presentation + Paper

Time-frequency manifold representation for separating and classifying frequency modulation signals

Bing Li

Proceedings Volume 11742, 1174203 (2021) https://doi.org/10.1117/12.2586084

KEYWORDS: Time-frequency analysis, Frequency modulation, Signal processing, Receivers, Signal detection, Radar, RF communications, Fourier transforms

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Proceedings Article | 12 April 2021 Presentation

Graphical model and diffusion equation based manifold learning for sensor data processing

Bingcheng Li

Proceedings Volume 11746, 117460C (2021) https://doi.org/10.1117/12.2586087

KEYWORDS: Diffusion, Data modeling, Sensors, Data processing, Visual process modeling, Machine vision, Image processing, Computer vision technology

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Proceedings Article | 12 April 2021 Presentation + Paper

Discrete legendre polynomial based adaptive image filtering

Bingcheng Li

Proceedings Volume 11729, 117290W (2021) https://doi.org/10.1117/12.2588241

KEYWORDS: Image filtering, Linear filtering, Digital filtering, Denoising, Pattern recognition, Machine vision, Image processing, Feature extraction, Computer vision technology, Anisotropic diffusion

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Proceedings Article | 24 April 2020 Presentation + Paper

Network dynamics based sensor data processing

Bingcheng Li

Proceedings Volume 11394, 1139411 (2020) https://doi.org/10.1117/12.2558194

KEYWORDS: Image processing, Diffusion, Anisotropic diffusion, 3D image processing, Data processing, Data modeling, Sensors, LIDAR, Clouds, Analytics

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Proceedings Article | 23 April 2020 Presentation + Paper

Balanced random walk for binary phase noise waveform design

Bingcheng Li

Proceedings Volume 11408, 114080J (2020) https://doi.org/10.1117/12.2558187

KEYWORDS: Binary data, Radar, Chaos, Neural networks, Optimization (mathematics), Particle swarm optimization, Doppler effect, Radar imaging, Fluctuations and noise, Phase shift keying

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Proceedings Article | 23 April 2020 Presentation + Paper

Artificial intelligence implementation for multi-domain sensor suite optimization

Ferris Arnous, Ram Narayanan, Bing Li

Proceedings Volume 11408, 1140818 (2020) https://doi.org/10.1117/12.2567139

KEYWORDS: Sensors, Machine learning, Algorithm development, Data modeling, Detection and tracking algorithms, Sensor performance, Data fusion, Evolutionary algorithms, Performance modeling, Synthetic aperture radar

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Proceedings Article | 21 April 2020 Presentation + Paper

Network dynamics based multidomain sensor data processing and fusion for multidomain operations

Bingcheng Li

Proceedings Volume 11413, 1141309 (2020) https://doi.org/10.1117/12.2559990

KEYWORDS: Sensors, Data processing, Signal processing, Data fusion, LIDAR, 3D image processing, Image processing, Image sensors, Clouds, Diffusion

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Proceedings Article | 14 May 2019 Presentation + Paper

Simple linear regression model based data clustering

Bingcheng Li

Proceedings Volume 10988, 109880A (2019) https://doi.org/10.1117/12.2518037

KEYWORDS: Data modeling, Data processing, Distance measurement, Algorithm development, Lithium, Data mining, Quantization, Signal processing, Computer security, Data compression

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Proceedings Article | 3 May 2019 Presentation + Paper

Kicked rotor quantum chaos (KRQC) for radar noise waveform design

Bing Li

Proceedings Volume 11003, 110030L (2019) https://doi.org/10.1117/12.2518048

KEYWORDS: Fractal analysis, Radar, Binary data, Quantum chaos, Interference (communication), Chaos, Doppler effect, Radar imaging, Distortion, Lithium

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Proceedings Article | 3 May 2019 Paper

Polynomial chirplet approach for frequency modulation signal separation and classification

Bing Li

Proceedings Volume 11003, 110031B (2019) https://doi.org/10.1117/12.2518042

KEYWORDS: Signal detection, Frequency modulation, Time-frequency analysis, Signal processing, Signal analysis, Receivers, RF communications, Radar, Signal analyzers, Image processing

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Proceedings Article | 4 May 2018 Presentation + Paper

Particle swarm optimization for radar binary phase code selection

Bingcheng Li

Proceedings Volume 10633, 106330A (2018) https://doi.org/10.1117/12.2305768

KEYWORDS: Binary data, Particle swarm optimization, Particles, Radar, Neural networks, Genetic algorithms, Telecommunications, Fluctuations and noise, Genetics, Evolutionary algorithms

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Proceedings Article | 30 April 2018 Presentation + Paper

Mask size independent and orientation invariant object finding

Bing Li

Proceedings Volume 10648, 106480F (2018) https://doi.org/10.1117/12.2305571

KEYWORDS: Algorithms, Pattern recognition, Distortion, Visualization, Algorithm development, Lithium, Machine vision, Computer vision technology, Physics, Detection and tracking algorithms

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Proceedings Article | 1 May 2017 Presentation + Paper

Fast Legendre moment computation for template matching

Bing C. Li

Proceedings Volume 10202, 102020J (2017) https://doi.org/10.1117/12.2262783

KEYWORDS: Machine vision, Computer vision technology, Pattern recognition, Image processing, Electrodynamics, Spherical lenses, Quantum mechanics, Physics, Video processing, Video

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Proceedings Article | 1 May 2017 Presentation + Paper

Linear chirp phase perturbing approach for finding binary phased codes

Bing Li

Proceedings Volume 10188, 101880Q (2017) https://doi.org/10.1117/12.2262775

KEYWORDS: Telecommunications, Radar, Neural networks, Probability theory, Monte Carlo methods, Lithium, Fluctuations and noise, Tolerancing, Doppler effect, Frequency modulation

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Proceedings Article | 12 May 2016 Paper

Uniform smooth filtering approach for fast template matching

Bing C. Li

Proceedings Volume 9844, 984406 (2016) https://doi.org/10.1117/12.2223213

KEYWORDS: Image processing, Smoothing, Image filtering, Distortion, Neodymium, Lithium, Machine vision, Computer vision technology, Video processing, Video

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Proceedings Article | 12 May 2016 Paper

Fractal characteristics for binary noise radar waveform

Bing C. Li

Proceedings Volume 9829, 98290G (2016) https://doi.org/10.1117/12.2223221

KEYWORDS: Radar, Fractal analysis, Monte Carlo methods, Binary data, Probability theory, Interference (communication), Doppler effect, C++, Radar imaging, Distance measurement

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Proceedings Article | 28 May 2015 Paper

Shape distance transform for morphological filtering and landing site selection

Bing Li

Proceedings Volume 9476, 94760B (2015) https://doi.org/10.1117/12.2182513

KEYWORDS: Image filtering, Binary data, Transform theory, Image processing, Pattern recognition, Machine vision, Computer vision technology, Zoom lenses, Optimal filtering, Safety

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Proceedings Article | 13 June 2014 Paper

Line fitting based feature extraction for object recognition

Bing Li

Proceedings Volume 9090, 90900K (2014) https://doi.org/10.1117/12.2065442

KEYWORDS: Feature extraction, Diffusion, Wavelets, Image enhancement, Object recognition, Image filtering, Pattern recognition, Gaussian filters, Binary data, Finite element methods

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Proceedings Article | 16 May 2013 Paper

Diffusion and NCC combined image registration

Bingcheng Li

Proceedings Volume 8737, 87370I (2013) https://doi.org/10.1117/12.2014296

KEYWORDS: Image registration, Diffusion, Image sensors, Feature extraction, Sensors, Image processing, Motion estimation, Video, Video surveillance, Image restoration

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Image registration is a process of transforming a data set from one coordinate system into another. There are two typical approaches for image registration: Feature point match based and Area similarity comparison based. The feature point match based approach, using points to establish the correspondence between two images, is relatively fast, but it involves feature extractions and parameter selection to create feature points. Feature extractions involve derivatives which are ill-posed problems and may lead to robustness issues. The area similarity comparison based approach compares intensity patterns using a correlation metric such as normalized cross correlation (NCC). Since it does not require feature extraction, is simple and not sensitive to noise. However its computational cost is high. Even when some fast techniques like FFT are used to reduce the computational cost, the implementation is still time consuming. In this paper, we propose a diffusion equation and normalized cross correlation (NCC) combined method to perform robust image registration with low computational cost. We first apply the diffusion equation to two images received from two sensors (or the same sensor) and allow these two images to evolve by this diffusion equation. Based on the characteristics of evolutions, we select a very small percentage of stable points in the first image and perform the normalized cross correlation to the second image at each transformation point. The highest NCC point provides the transformation parameters for registering these two images. This new method is resistant to noise since the evolution of the diffusion equation reduces noise and it chooses only stable points for the NCC computation. Furthermore, the new method is computationally efficient since only a small percentage of pixels involve in the transformation estimation. Finally, the experiments for video motion estimation and image registration are provided to demonstrate that the new method is able to estimate the registration transformation reliably in real time.

Proceedings Article | 25 January 2012 Paper

A performance assessment on the effectiveness of digital image registration methods

Steve Kacenjar, Bing Li, Alan Ostrow

Proceedings Volume 8294, 82940V (2012) https://doi.org/10.1117/12.912087

KEYWORDS: Digital image correlation, Image processing, Image registration, Skin, Cameras, Digital imaging, Image filtering, Packaging, Photography, Image acquisition

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Proceedings Article | 26 February 2008 Paper

Constraint optimization method for line fitting

Bing Li

Proceedings Volume 6813, 68130I (2008) https://doi.org/10.1117/12.769002

KEYWORDS: Pattern recognition, Lithium, Image processing, Direct methods, System integration, Error analysis, Detection and tracking algorithms, Optimization (mathematics), Machine vision, Electronic imaging

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Proceedings Article | 21 March 2000 Paper

Form distance transform based implementation of morphological filter

Bingcheng Li, Rene Villalobos

Proceedings Volume 3966, (2000) https://doi.org/10.1117/12.380088

KEYWORDS: Binary data, Image filtering, Machine vision, Image analysis, Pattern recognition, Optical inspection, Optical filters, Image processing, Computer vision technology, Image understanding

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Proceedings Article | 15 April 1997 Paper

Diffusion equation and its application to SMD inspection

Bingcheng Li, Jesus Villalobos, Jose Gallegos, Sergio Cabrera

Proceedings Volume 3029, (1997) https://doi.org/10.1117/12.271238

KEYWORDS: Inspection, Diffusion, Feature extraction, Image analysis, Machine vision, Computer vision technology, Optical inspection, Convolution, Image enhancement, Image processing

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Proceedings Article | 15 April 1997 Paper

Robust-statistic-based template matching

Bingcheng Li, Dongming Zhao, Jesus Villalobos, Sergio Cabrera

Proceedings Volume 3029, (1997) https://doi.org/10.1117/12.271242

KEYWORDS: Correlation function, Signal processing, Signal to noise ratio, Fourier transforms, Electroluminescence, Phase only filters, Radon, Osmium, Detection theory, Nickel

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Proceedings Article | 21 April 1995 Paper

Difference-of-exponential detector for extracting edges

Bingcheng Li, Dongming Zhao

Proceedings Volume 2501, (1995) https://doi.org/10.1117/12.206797

KEYWORDS: Sensors, Diffractive optical elements, Edge detection, Performance modeling, Optimal filtering, Digital filtering, Electronic filtering, Convolution, Feature extraction, Iterated function systems

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Proceedings Article | 16 September 1994 Paper

Multiscale filtering method for derivative computation

Bingcheng Li, Songde Ma

Proceedings Volume 2308, (1994) https://doi.org/10.1117/12.185887

KEYWORDS: Edge detection, Optical filters, Electronic filtering, Image filtering, Gaussian filters, Interference (communication), Lithium, Smoothing, Optical flow, Image segmentation

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Proceedings Article | 22 October 1993 Paper

Pyramid AR model to generate fractal Brownian random field

Bingcheng Li, Songde Ma

Proceedings Volume 2094, (1993) https://doi.org/10.1117/12.157865

KEYWORDS: Autoregressive models, Fractal analysis, Motion models, Image analysis, Image segmentation, Lithium, Pattern recognition, Clouds, Computer graphics, Mathematical modeling

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