Yang Kun-tao

Wuhan University of Technology

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Co-Authors

Chen Guannan

Xi’an University of Posts and Telecommunications

Xie Zhi-ming

Nanjing Medical University

Guannan Chen

Newcastle University

Xiang Neng-quan

Yongzeng Li

Fujian Normal University

Jianxin Chen

Alibaba Group (United States)

Wei Zhang

UNSW Sydney

Jianxin Chen

Rice Research Institute

Rong Chen

Southwest Jiaotong University

Juqiang Lin

Xiamen University of Technology

Cooperative Institutions

Fujian Normal University

Huazhong University of Science and Technology

Fuzhou University

Nanjing University of Posts and Telecommunications

Zhejiang University

National Central University

Wenzhou Medical University

Sichuan University

Northeast Electric Power University

Ministry of Education and Child Care

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Research Field

Stress intensity analyzing of the submarine periscope rectangle plain protecting window

Ship Science and Technology (2006)

Xiang Neng-quan Yang Kun-tao Shao Chao

Aiming at the difference between calculating results from theory and experiment conclusions to the pressure-resistance of the submarine periscope rectangle plain protecting window,on the basis of the study of the flexibility relationship between the assembling seal structure of the protecting window and stress loading of the elastic mat,some new constraints of the protecting window are put forward.The simulation results applying these constraints are more close to the experiment data.The conclusions of stress intensity analyzing of the submarine periscope rectangle plain protecting window is provided at last.

Rectangle

Intensity

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Gray-level value natural logarithm ratio neighborhood filters method for image denoising

Journal of Computer Applications (2009)

Guannan Chen Yang Kun-tao Rong Chen Zhi-ming Xie

Natural logarithm

Gray (unit)

10.3724/sp.j.1087.2009.01930

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Citations (1)

Experiment research of edge detection in digital image processing

Journal of Hunan Institute of Science and Technology (2007)

Yang Kun-tao

Edge detection has a very important application in image processing and computer vision.This paper introduced and analyzed several typical methods of edge detection in digital image processing,at the same time,compares each method and indicates the advantages and disadvantages of each method through VC++ experience,provide the comparison and the reference for uses which algorithm to the practical application.

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Citations (5)

Study on the process for the combustion of CaAl_2O_4:Eu~(2+),Nd~(3+) fluorescent powder

Journal of Ezhou University (2006)

Yang Kun-tao

The fluorescent powder CaAl2O4∶Eu2+,Nd3 has been successively synthesized with the combustion method at lower temperature(600℃) , the influence of the content of the rare-earth ions Eu2+ and Nd3+ and the igniting temperature on the properties of fluorescent powder is invested. The most suitable content of the rare -earth ions and the best synthesizing temperature are determined when fluorescent shines brightly and for a long time. According to the above, the combination of the materials in forward solution for combustion is studied.

Fluorescent lamp

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Measuring technique of dual energy X-rag bone density based on CZT detector

Guangdian gongcheng (2006)

Yang Kun-tao

A new method to measure the density of bone mineral by using the CZT crystal detector was put forward in this paper. Measurements such as locating the objects, X-ray scanning, CZT crystal lattice were employed to measure the double energy X-ray absorbed and attenuated by the osseous tissue. The stage treatment of measuring signal realized the quantificational measure and imaging of the osseous density. Results show that the CZT detector works well; and the system measurement is characterized by fast speed, high-precision, and high spatial resolution etc.

Dual energy

Crystal (programming language)

SIGNAL (programming language)

X-ray detector

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Method for line detection based on RHT-LSM

Yang Kun-tao

Based on strong resistance to noise of Randomized Hough Transform (RHT) and high fitting precision of Least Square Method (LSM), a new method to detect lines in image was presented on the basis of RHT and LSM. At first, approximate position of lines was confirmed, and the parameters and quantity of the lines were computed by RHT. And then, the distance was computed from every point to each line detected by RHT. Based on the distances, the points on the line and near the line belonged to the same cluster, so several point sets could be obtained whose number was equal to the number of the line. The point sets in the vicinity of each line were extracted and the disturbance or noise far from the line was deleted. At last, we got the exact line parameters after fitting the points within each sets with LSM. This arithmetic performs well when an image has strong background noise. Furthermore, certain bending lines can be detected precisely. Experiments with the dynamic recognition of train brake beam show that the method is feasible and effective.

Hough Transform

Line (geometry)

Line segment

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Citations (2)

Macro instruction numerical control programming and its application

Journal of Ezhou University (2006)

Yang Kun-tao

By analyzing typical macro-procedures of two parts, the author summarizes the functions and mechanics of applying macroinstruction program in handiwork to solve complex part in numerical control process program.

Macro

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A Gray-Natural Logarithm Ratio Neighborhood Filters Method for Biomedical Image Denoising

Chen Guannan Rong Chen Jianxin Chen Xie Zhi-ming Zufang Huang

Denoising biomedical images can be completed by a spatial averaging of nearby pixels. Neighborhood filters are usually preferred. In this paper, we perform an analysis of neighborhood filters where the size of the gray Euclidean distance is small. We prove that the weak edges and details are smoothed and the gray level transition tends to become mild filtering with these neighborhood filters. As a solution, we propose a gray-natural logarithm ratio bilateral neighborhood filter. The new gray-natural logarithm ratio bilateral neighborhood filter method can not only well restrain noise but also keep much more weak edges and details of a biomedical image, and preserve the original gray level transition of gray level images. Experimental results show that the effectiveness for biomedical image denoising with our method is better.

Gray (unit)

Gray level

Non-Local Means

Natural logarithm

10.1109/icbbe.2008.984

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Citations (2)

A Gray-level Value Logarithm Ratio Neighborhood Filters Method for Image Denoising

IETE Technical Review (2008)

Chen Guannan Rong Chen Yang Kun-tao Jianxin Chen Huang Zu-fang

AbstractNeighborhood filters are modern and powerful techniques for image denoising. In this paper, we perform an analysis for the normalization Factor of Neighborhood filters, where the size of the gray Euclidean distance is small. We prove that the weak edges and details are smoothed, and the gray level transition tends to become mild, when filtering with these Neighborhood filters. As a solution, a new gray-level value logarithm ratio range filter kernel is pointed out for the normalization Factor of Bilateral filter, a representative method of Neighborhood filters. The new gray-level value logarithm ratio Neighborhood filters method can not only restrain noise well but also keep much more weak edges and details of images, and preserve the original gray level or color transition for gray images or color images.

Gray (unit)

Value (mathematics)

Gray level

10.4103/0256-4602.45425

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Rotating effect of self-imaging of gratings with cylindrical lens

Yang Kun-tao

The modulating effect of a cylindrical lens on the self- imaging of a grating is investigated with Fourier spectrum analysis. It is found that periods and the position of the self-imaging of a grating are changed and the direction is rotated. The feature of the rotation is discussed.

Position (finance)

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