Hong Li

National Clinical Research Center for Digestive Diseases

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i-10 index

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Co-Authors

Yantao Wei

Central China Normal University

Dexiu Huang

Huazhong University of Science and Technology

Liming Zhang

University of Macau

Luoqing Li

Hubei University

Yuan Yan Tang

University of Macau

Tang-Kun Liu

Hubei Normal University

Yue Jiang

East China Normal University

C. L. Philip Chen

Dalian Maritime University

Yalong Song

Shihezi University

Ziyang Guo

Yeshiva University

Cooperative Institutions

Chinese Academy of Sciences

Huazhong University of Science and Technology

University of Chinese Academy of Sciences

Tsinghua University

University of Electronic Science and Technology of China

Peking University

Zhejiang University

Central South University

Sun Yat-sen University

Jilin University

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Research Field

A Novel Fusion Method Using NSCT and PCNN

Applied Mechanics and Materials (2013)

Hong Li Fen Xia Wu Cong E Tan Gong Yu Li

An image fusion algorithm by combing Nonsubsampled Contourlet Transform and Pulse Coupled Neural Network is proposed in this paper. Two primitive matched images are decomposed in NSCT domain. The low frequency used the regional energy weighted fusion. The high frequency coefficients are input to the PCNN. Finally, the fused result is obtained through inverse NSCT. The novel algorithm will employ features and contain the most of the energy of image. The simulation results show that the results are much better than the experimental results, which the mutual information and Q AB/F parameters are higher than the contrast method of fusion results.

Contourlet

Combing

10.4028/www.scientific.net/amm.380-384.3994

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Citations (1)

Light field duality

George Chen Hong Li K. T. Ng Peter McGuinness Christian Hofsetz

We propose to look at light fields from a dual space point of view. The advantage, in addition to revealing some new insights, is a framework that combines the benefits of many existing works. Using the well known two-plane-parameterization, we derive the duality between the 4-D light field and the 3-D world space. In the dual light field, rays become hyper points. We introduce the concept of hyperline. Then, cameras appear as hyperlines - camera hyperline (CHL) - mostly heterogeneous in color; scene points also appear as hyperlines - geometry hyperline (GHL) - mostly homogeneous in color. CHL's and GHL's are independent. The existence of one does not require or replace the other. When both exist, they cross each other at the dual ray hyper points. Both CHL and GHL-based light field rendering results are presented.

Light Field

Duality (order theory)

10.1145/585740.585743

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Citations (1)

A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films

Scientific Reports (2019)

Hu Chen Kailai Zhang Peijun Lyu Hong Li Ludan Zhang

Abstract We propose using faster regions with convolutional neural network features (faster R-CNN) in the TensorFlow tool package to detect and number teeth in dental periapical films. To improve detection precisions, we propose three post-processing techniques to supplement the baseline faster R-CNN according to certain prior domain knowledge. First, a filtering algorithm is constructed to delete overlapping boxes detected by faster R-CNN associated with the same tooth. Next, a neural network model is implemented to detect missing teeth. Finally, a rule-base module based on a teeth numbering system is proposed to match labels of detected teeth boxes to modify detected results that violate certain intuitive rules. The intersection-over-union (IOU) value between detected and ground truth boxes are calculated to obtain precisions and recalls on a test dataset. Results demonstrate that both precisions and recalls exceed 90% and the mean value of the IOU between detected boxes and ground truths also reaches 91%. Moreover, three dentists are also invited to manually annotate the test dataset (independently), which are then compared to labels obtained by our proposed algorithms. The results indicate that machines already perform close to the level of a junior dentist.

Numbering

Ground truth

Base (topology)

10.1038/s41598-019-40414-y

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Citations (244)

A Check-In System Leveraging Face Recognition

Qi Liu Hong Li Yan Hu Limin Sun

With the development of society, Face Recognition technology has become one of the hottest topics, and is widely used. In this paper, we design and develop a face recognition system that can be used as a check-in system. Traditional check-in systems have several disadvantages including inefficiency and being difficult to analyse statistics. Thus, in order to solve these problems, we propose a new way of check-in: an identification system based on face recognition. Our system includes three main processes. Firstly, the image of each individual is captured via computer cameras. Secondly, after image preprocessing, feature information is extracted from the images through an efficient face recognition algorithm based on Principle Component Analysis. Thirdly, a database including the basic information of participants is created, and each image is associated with corresponding information in the database. After system development, comprehensive experiments are performed to examine the identification accuracy of the system.

Identification

Feature (linguistics)

Three-dimensional face recognition

10.1109/cybermatics_2018.2018.00095

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Citations (1)

<title>Estimating 3D motion and position of a point target</title>

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1997)

Guanghui Ouyang Jixiang Sun Hong Li Wenhei Wang

Estimating motion parameters and spatial position of object is very important in target tracking and computer vision. The constraint for obtaining 3D motion and coordinates from a monocular image sequence is first presented and proved in this paper. With this constraint, a nonlinear recursive filtering algorithm for estimating 3D motion parameters and 3D spatial position of a point target from monocular images has been proposed. The performance of the proposed technique on simulated image sequence is also involved. Keywords: image analysis, motion estimation, recursive filtering

Position (finance)

Monocular

Motion field

Tracking (education)

Sequence (biology)

10.1117/12.294530

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Citations (3)

International Journal of Infrared and Millimeter Waves (2000)

Hong Li Dexiu Huang

10.1023/a:1006619811267

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Citations (0)

All the three-photon entanglement states

arXiv (Cornell University) (2014)

Xiang-Yao Wu Hong Li Xiaojing Liu Ji Ma Jiao Wang

In this paper, we have given all states of three-photon, which include all entanglement states, and obtained some new results about three-photon entanglement, which should be used in quantum communication and quantum computation.

Photon entanglement

Multipartite entanglement

Quantum sensor

Source

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Citations (0)

Distance context based PCB film image alignment

Circuit World (2014)

Chengyong Zheng Hong Li Guokuan Li

Purpose – This paper presents a novel printed circuit board (PCB) film image alignment method based on distance context of image components, which can be directly used for PCB film inspection. PCB film inspection plays a very important role in PCB production. Design/methodology/approach – First, image components of reference film image and inspected film image are extracted. Then, local distance context (LDC) and global distance context (GDC) are computed for each image component. Using LDC and GDC, the similarity of each pair of components between the reference film image and the inspected film image are computed, the component correspondences can be established accordingly and the parameters for aligning these two images can be eventually estimated. Findings – LDC and GDC act as the local spatial distribution descriptor and the global relative position descriptor of the current component, and they are invariant to translation, rotating and scale. Experimental results on aligning real PCB film images against various rotations and scaling transformation show that the proposed algorithm is fast and accurate and is very suitable for PCB film inspection. Research limitations/implications – The proposed algorithm is suitable for aligning those images that have some isolated connected components, such as the PCB film images. It is not suitable for general image alignment. Originality/value – We put forward to use LDC and GDC as the local descriptor and global descriptor of an image component, and designed a PCB film image alignment algorithm that can overcome the shortcomings of that image alignment algorithm that was based on local feature descriptors such as Fourier descriptor.

Image registration

Feature (linguistics)

Component (thermodynamics)

Similarity (geometry)

10.1108/cw-03-2014-0006

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158MHz Surface Acoustic Wave Fixed\| Delay Line on GaAs\+*

Chinese Journal of Semiconductors (2000)

Hong Li

A design method and a new Metal lift\|off manufacture technology of GaAs surface acoustic wave (SAW) fixed\|delay line is given.We have developed the SAW fixed\|delay line on GaAs.Its typical parameters are as follows:the center frequency is 158MHz with the insertion loss of less than 55dB and the delay time is 1 5μs.

Lift (data mining)

Line (geometry)

Source

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Citations (2)

Assimilation of Himawari-8 imager radiance data with the WRF-3DVAR system for the prediction of Typhoon Soudelor

Natural hazards and earth system sciences (2021)

Feifei Shen Aiqing Shu Hong Li Dongmei Xu Jinzhong Min

Abstract. Himawari-8 is a next-generation geostationary meteorological satellite launched by the Japan Meteorological Agency. It carries the Advanced Himawari Imager (AHI) on board, which can continuously monitor high-impact weather events with high frequency in space and time. The assimilation of AHI radiance data was implemented with the three-dimensional variational data assimilation system (3DVAR) of the Weather Research and Forecasting Model for the analysis and prediction of Typhoon Soudelor (2015) in the Pacific typhoon season. The effective assimilation of AHI radiance data in improving the forecast of the tropical cyclone during its rapid intensification has been realized. The results show that, after assimilating the AHI radiance data under clear-sky conditions, the typhoon position in the background field of the model was effectively corrected compared with the control experiment without AHI radiance data assimilation. It is found that the assimilation of AHI radiance data is able to improve the analyses of the water vapor and wind in a typhoon's inner-core region. The analyses and forecasts of the minimum sea level pressure, the maximum surface wind, and the track of the typhoon are further improved.

Typhoon

10.5194/nhess-21-1569-2021

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Citations (12)