Professor

Phone: 86-27-87793014

Email: zhongsheng@mail.hust.edu.cn

Academic Areas: Pattern recognition, image analysis, multi band infrared image fusion, image signal processor, high-speed parallel processing technology, programmable device

Research Interests:

Dr. Sheng Zhong is a professor of the Department of Aircraft navigation guidance, School of Automation. He is a member of National Key Laboratory of multi spectral information technology,and MOE Key Lab. of Image Processing and Intelligence Control.Professor Zhong's research is focused primarily on Pattern recognition, image analysis, multi band infrared image fusion, image signal processor, high-speed parallel processing technology, programmable device.

Academic Degrees

Sept. 1990-July 1994 Huazhong University of Science and Technology B.S. in Industrial automation
Sept. 1996-May 1999 Huazhong University of Science and Technology M.S. in Pattern recognition and intelligent system.
Sept.1999-May 2005 Huazhong University of Science and Technology Ph.D. in Pattern recognition and intelligent system.

Professional Experience

Nov. 2013- present: Professor, School of Automation, MOE Key Lab. of Image Processing and Intelligence Control, National Key Laboratory of multi spectral information technology. HUST.

Nov. 2007-Oct. 2013:Associate Professor, Institute for Pattern Recogniton and artificial intelligence,
National Key Laboratory of multi spectral information processing technology, HUST.

March. 2004 –Apr. 2004:Visiting Scholar, Bordeaux-3 University, France .

Nov. 2002-Nov. 2007: Lecturer, Institute for Pattern Recogniton and artificial intelligence, MOE Key Lab. of Image Processing and Intelligence Control, HUST.

July 1994-Aug. 1996: Engineer, Wuhan Digital Engineering Institute.

Selected Publications

1.  A real-time embedded architecture for SIFT, Source: Journal of Systems Architecture, v 59, n 1, p 16-29, January 2013, Zhong, Sheng; Wang, Jianhui; Yan, Luxin; Kang, Lie; Cao, Zhiguo

2.  New entropic thresholding approach using gray‐level spatial correlation histogram, Source: Optical Engineering, v 49, n 12, p 127007 (13 pp.), Dec. 2010, Yang Xiao; Zhiguo Cao; *Sheng Zhong

3.  Blind image deconvolution with spatially  adaptive total variation regularization, Source: Optics Letters, v 37, n 14, p 2778-2780, July 15, 2012, Yan, Luxin; Fang, Houzhang; *Zhong, Sheng

4.  Semi-blind spectral deconvolution with adaptive Tikhonov regularization, Source: Applied Spectroscopy, v 66, n 11, p 1334-1346, November 2012, Yan, Luxin; Liu, Hai; *Zhong, Sheng; Fang, Houzhang

5.  Defocus blurred image restoration by minimizing second-order central moment, Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 8002, p 80021C (7 pp.), 2011, Sheng Zhong; Mingzhi Jin; Luxin Yan; Tianxu Zhang

6.  An Improved Implementation of Infrared Focal Plane Image Enhancement Algorithm based on FPGA, Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 8005, p 800508 (8 pp.), 2011, Sheng Zhong; Dan Shi; Bo Wang; Ke Li

7.  A fast template matching method based on context prediction, Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 8004, p 80040C (7 pp.), 2011, Lie Kang; Sheng Zhong; Zuoqian Du; Zhangfa Ren

8.  A New Contour Tracing Method in a Binary Image, Source: 2011 International Conference on Multimedia Technology, p 6183-6, 2011, Lie Kang; Sheng Zhong; Fang Wang

9.  Implementation of Large Kernel Convolution in Limited FPGA Resource, Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 6789, n 1, p 67892N-1-6, 1 Dec. 2007, Sheng Zhong; Yang Li; Luxin Yan; Tianxu Zhang; Zhiguo Cao

10.Intensity-based Correlation for heterogeneous images Scene Matching, Source: Proceedings of the SPIE - The International Society for Optical Engineering, v 6786, n 1, p 67863B-1-9, 15 Nov. 2007, Sheng Zhong; Huimin Cao; Tianxu Zhang

Awards and Honors

One 1st Prize of Ministry of Education Science and Technology Progress Award.
Two Second Prize of National Defense Science and Technology Progress Award.
One Second Prize of National Defense Science and Technology Invention Award.
Tow 3rd Prize of National Defense Science and Technology Progress Award.

Courses Taught

For Undergraduate:
 Computer composition principle
For Graduate:
 Embedded image processing system

Project

1. 2006-2010 The national key research project "the high speed signal processing technology of infrared imaging"

2. 2007-2010 The national key project, "The universal signal processing technology of aircraft navigation "
3. 2011-2015 The national key research project "Adaptive multi band infrared target recognition information processing technology"

4. 2011-2015 The national key research project "Modular reconfigurable imaging navigation information processing system"

And others research projects about Image processing...

5 authorized invention patents.

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