Zhao Ziran

Tsinghua University

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Zhang Li

National University of Defense Technology

Zhiqiang Chen

Southwest Petroleum University

Yingkang Jin

Guangzhou Medical University

Zhang Li

Fudan University

Gu Jianping

Nuctech (China)

Zhiqiang Chen

Shanxi Medical University

Zhang Li

State Grid Hunan Electric Power Company Limited

Zongjun Shen

Nuctech (China)

Huimin Wu

Qingdao University

Shuai Leng

Mayo Clinic

Cooperative Institutions

Tsinghua University

Nuctech (China)

University of Chinese Academy of Sciences

Fudan University

Tongji University

Nanjing University of Posts and Telecommunications

China Power Engineering Consulting Group (China)

Guangxi University of Chinese Medicine

National University of Defense Technology

Chinese University of Hong Kong, Shenzhen

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Virtual-reality displaying of workpiece by reverse modeling

Hedianzixue yu tance jishu (2006)

Huimin Wu Zhang Li Chen Zhiqiang Zhao Ziran

Reverse engineering

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New research progress of photoconductive terahertz source

Laser & Infrared (2011)

Zhao Ziran

The terahertz technique has wide application prospect and research value in fundamental research field,industrial and military applications.The terahertz source is an important factor to determine the prospects and development potential of terahertz technique.For the research and development of photoconductive material,the photoconductive terahertz source is an important way to generate broadband terahertz radiation.It is also a very active area among all related techniques in terahertz.This article makes a comprehensive review about principle,performance factors and research situation of photoconductive terahertz source,focusing on substrate material,electrode geometry and excitation source.The existing problems,the possible solutions and its future development are briefly reviewed and discussed.

Photoconductivity

Photomixing

Terahertz gap

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Iterative algorithms applied in research of tomography image reconstruction with incomplete projection data

Hedianzixue yu tance jishu (2003)

Shuai Leng Zhang Li Zhiqiang Chen Zhao Ziran

Projection data gained during Industrial Computer Tomography (ICT) measurement is incomplete sometimes for particular reasons. Then the image quality reconstructed by conventional analytical algorithms will be unsatisfactory. The implementation of iterative algorithms can improve this condition. Gradient Algorithm and Convex Algorithm based on MaximumLikelihood (ML) are applied in reconstruction with incomplete projection data.

Industrial computed tomography

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The Study of Relationship between Circular Orbit Cone Beam Reconstruction Error and Cone Angle

Computerized Tomography Theory and Applications (2003)

Zhao Ziran

Objective The Study of Relationship between Circular Orbit Cone Beam Reconstruction Error and Cone Angle. Method: Compared with 2-D CT reconstruction, Cone-Beam reconstruction has several advantages, and now it has been implemented more and more widely. Circular orbit based Cone-Beam reconstruction algorithms, which are mathematically simpler and more feasible than other algorithms, are more favorable. However, because of the limitation by circular orbit, we cant obtain all the data in Radon Space which means that the result becomes better with the cone angle decreases. So it is important to study the relationship between the cone angle and the reconstruct quality further. Results: In this paper we obtain a relationship between the error and the cone angle with some approximation. Conclusion: Then we propose some ways to improve circular orbit based Cone-Beam algorithms.

Cone (formal languages)

Ligand cone angle

Orbit (dynamics)

Circular orbit

Cone-Beam CT

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Analysis and realization of calibration algorithm of the inconsistent of detector array

Hedianzixue yu tance jishu (2002)

Zhao Ziran Zhiqiang Chen Zhang Li

In order to get high quality image , we must consider the inconsistent of detectors in large container inspect system (LCIS). This paper give the model of the detector's output and the accurate calibrate algorithm. Through we need a fast and realizable method in engineering practice, the model has been simplified. At last we developed a algorithm that can that be used for real time image pre-procession.

Realization (probability)

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Cone beam reconstruction algorithm based on two concentric circles

Journal of Tsinghua University(Science and Technology) (2004)

Zhao Ziran

Cone beam reconstruction algorithms (such as FDK) based on circular orbits can only be used when the cone angle is small. This paper developed a cone beam reconstruction algorithm based on extrapolation. The algorithm reconstructs the object through two concentric circles, first twice reconstructing the object with different orbit radii and then correcting one reconstruction result based on the relation between the reconstruction error and the orbit radius. The algorithm yields improved image quality reflected by decreased drop, which is a well-known problem for cone beam reconstruction with circular trajectories for both low-intensity and high-intensity objects. The applicable cone angle range is 2 to 4 times larger than that of the FDK algorithm.

Cone (formal languages)

Orbit (dynamics)

Reconstruction algorithm

Circular orbit

Ligand cone angle

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A Synthetic Targets Detection Method for Human Millimeter-Wave Holographic Imaging System

Li Zheng Yingkang Jin Zongjun Shen Gu Jianping Ziye Wang

Automatic Target Recognition (ATR) technology is of great significance in security inspection, while traditional object detection methods are proved not efficient in human body millimeter-wave images. In this paper, we propose a synthetic objection detection method for millimeter-wave images. We choose saliency, SIFT and HOG features to form image descriptors. According to sparse representation, the features are encoded again and fed to a linear SVM for target/non-target classification. Previous works proved that the amount of training samples would influence the efficiency of SVM classifiers. Thus, we utilize several simulating methods for data augmentation, aiming to increase the number of training samples before training linear SVM classifiers. The experimental results show that our approach is efficient in target detection of human body millimeter-wave images. Moreover, classifiers trained on larger sets with simulated samples have better performance in classification on our testing dataset.

Extremely high frequency

Scale-invariant feature transform

Automatic Target Recognition

Contextual image classification

10.1109/ccbd.2016.063

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Application of a new fast median filtering algorithm in larger container inspection system

Hedianzixue yu tance jishu (2002)

Zhang Li Zhiqiang Chen Zhao Ziran Liu Yinbing

A new fast filtering Algorithm in which a mean value method is adopted is brought forward here, which can greatly decrease the temporal complexity if mid-value filtering method and therefore get a high efficiency in calculation. It is shown by the experiment in image process of the larger container inspection system that this algorithm has a very fast speed in image process and ameliorate the real time characteristic of the whole system.

Value (mathematics)

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