The goal is to acquaint the students with the fundamental techniques of image processing. Specific topics include: Digital imaging fundamentals; neighborhood operators; clustering, region growing; split and merge, segmentation; edge and line linking; degradation model, restoration, inverse filtering; zero-crossing methods, gradient edge detectors; gray level co-occurrence, texture analysis; morphological operations; image registration and enhancement; scale space filtering; motion estimation; 3D image recognition and estimation.
Types of multimedia information: voice, data video facsimile, graphics and their characterization; modeling techniques to represent multimedia information; analysis and comparative performances of different models; detection techniques for multimedia signals; specification of multimedia representation based on service requirements; evaluation of different multimedia representations to satisfy user applications and for generating test scenarios for standardization.
CPE 462:Introduction to Image Processing and Coding
Image acquisition, storage, image formation, sampling, basic relationship between pixels, imaging geometry, segmentation: edge detection, edge linking and boundary detection, Hough transform, region growing, thresholding, split and merge, histogram matching, representation: chain code, polygonal approximation and skeletonization, thinning algorithms, texture, image compression: elementary discussion of motion vectors for compression, discussion of industry standards such as JEPG and MPEG.
The focus of the course is on data networks and end-user software environments for information systems. Topics include the TCP/IP protocols, organization of large-scale data networks, end-to-end operation over heterogeneous networks and the software foundation of client-server application programs. The students complete a project using TCP/IP protocols to create a basic client-server application.
Imaging plays an important role in both clinical and research environments. This course presents both the basic physics together with the practical technology associated with such methods as X-ray computed tomography (CT), magnetic resonance imaging (MRI), functional MRI (f-MRI) and spectroscopy, ultrasonics (echocardiography, Doppler flow), nuclear medicine (Gallium, PET and SPECT scans) as well as optical methods such as bioluminescence, optical tomography, fluorescent confocal microscopy, two-photon microscopy and atomic force microscopy.
Waveform characterization and modeling of speech/image sources; quantization of signals; uniform, nonuniform and adaptive quantizing; Pulse Code Modulation (PCM) systems; Differential PCM (DPCM); linear prediction theory, adaptive prediction; Deltamodulation and sigma-delta modulation systems; subband coding with emphasis on speech coding; data compression methods like Huffman coding, Ziv-Lempel coding and run length coding.
Introduction and general pattern recognition concerns and statistical pattern recognition: introduction to statistical pattern recognition, supervised learning (training) using parametric and nonparametric approaches, parametric estimation and supervised learning, maximum likelihood (ML) estimation, the Bayesian parameter estimation approach, supervised learning using nonparametric approaches, Parzen windows, nonparametric estimation, unsupervised learning and clustering, and formulation of unsupervised learning problems; syntactic pattern recognition: quantifying structure in pattern description and recognition, grammar-based approach and applications, elements of formal grammars, syntactic recognition via parsing and other grammars, graphical approaches, and learning via grammatical inference; neural pattern recognition: the artificial neural network model, introduction to neural pattern associators and matrix approaches, multilayer, feed-forward network structure, and content addressable memory approaches. The Hopfield approach to pattern recognition, unsupervised learning, and self-organizing networks.
Schaefer School of Engineering & Science
Electrical and Computer Engineering
Center for Intelligent Networked Systems
Research & Education
Multimedia Networking: Network QoS, network security, ad hoc wireless networks, sensor networks, peer-to-peer networks
Image and Data Analysis: Face and gesture recognition, target detection and tracking, behavioral modeling, time sequence analysis
Medical Imaging: Functional MRI brain activation detection, prostate cancer and breast cancer detection, telemedicine
Video Coding: 3-D subband video coding, memory and computation efficiency
Ph.D., Electrical Engineering, 1999 Georgia Institute of Technology, Atlanta, GA
M.S., Electrical Engineering, 1994 Gonzaga University, Spokane, WA
B.S., Electronics Engineering, 1988 Soochow University, Suzhou, China
Achievements & Professional Societies
Senior member, IEEE
H. Man, F. Kossentini and M. Smith. (Dec 1999). ISO/IEC JTC 1/SC 29/WG1 N666, N751, N864, N1016, N1196, N1317, N1484, International Standard Organization Contributions.
H. Man, F. Kossentini and M. J. T. Smith. (Apr 1997). "A Channel Error Robust EZW Image Coding Technique", Second Erlangen Symposium on Advances in Digital Image Communication.
H. Man, F. Kossentini and M. J. T. Smith. (Oct 1997). "A Class of EZW Image Coders For Noisy Channels", IEEE International Conference on Image Processing (ICIP’97). 3 90-93.
H. Man, Q. H. Pham and M. J. T. Smith. (Dec 1998). "An Efficient End-To-End ATR System With Low Bit Rate Sensor Data Transmission", U.S. Army Aviation and Missile Command Workshop on Data Compression Processing Techniques for Missile Guidance Data Link. 487-502.
H. Man, M. J. T. Smith and F. Kossentini. (Jan 1999). "On Robustness of Adaptive Quantization for Subband Coding of Images", SPIE Conference on Visual Communications and Image Processing (VCIP’99).
H. Man, M. J. T. Smith. (Feb 1999). "A New Three-Dimensional Subband Coding Technique for Digital Video Broadcasting", Second Annual UCSD/IEEE Conference on Wireless Communications. 79-87.
H. Man, F. Kossentini, M. J.T. Smith. (Sep 2000). "An Error Resilient Coding Technique for JPEG2000", IEEE International Conference on Image Processing (ICIP’00).
A. Docef, H. Man, J. Monaco, and M. J. T. Smith. (Jun 2001). "A System for Real-Time Ultrasound", INFORMS International 2001 Conference.
D. Sun and H. Man. (Oct 2001). "Performance Comparison of Transport Control Protocols over Mobile Ad Hoc Networks", 12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communication.
D. Sun and H. Man. (Oct 2001). "TCP Flow-Based Performance Analysis of On-Demand Routing Protocols for Mobile Ad Hoc Networks", IEEE Vehicular Technology VTC-2001/Fall Conference.
D. Sun and H. Man. (Nov 2001). "ENIC - An Improved Reliable Transport Scheme for Mobile Ad Hoc Networks", IEEE GLOBECOM Conference 2001.
H. Man, R. de Queiroz and M. J. T. Smith. (Jul 2002). "A New 3-D Subband Video Coding Technique", IEEE International Conference on Acoustics Speech and Signal Processing.
D. Sun and H. Man. (Jul 2002). "Evaluation of Reliable Data Transport Schemes for Mobile Ad Hoc Networks", 6th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2002).
H. Man and Y. Li. (Oct 2002). "Layered Video Streams over Ad Hoc Campus Network", the 5th IEEE DSP Workshop (DSP’02).
H. Man and Y. Li. (Dec 2002). "Multi-Stream Video Transport over MPLS Networks", IEEE International Workshop on Multimedia Signal Processing (MMSP’02).
H. Man and Y. Li. (Jul 2003). "Multi-Stream Video Transport over DiffServ LANs", IEEE International Conference on Multimedia & Expo (ICME’03).
H. Man and Y. Li. (Aug 2003). "Multi-Path MPEG-4 Streaming over DiffServ Ad Hoc Wireless Networks", IEEE International Conference on Information Technology: Research and Education (ITRE 2003).
H. Man, F. Kossentini and M. J. T. Smith. (Feb 1999). "A Family of Efficient and Channel Error Resilient Wavelet/Subband Image Coders", IEEE Trans. on Circuits and Systems for Video Technology, 9 (1), 95-108.
H. Man, R. de Queiroz and M. J. T. Smith. (2002). "3-D Subband Coding Techniques for Wireless Video Communications", IEEE Trans. on Circuits and Systems for Video Technology.
H. Man, A. Docef and F. Kossentini. (2002). "Performance Analysis of the JPEG 2000 Image Coding Standard", Multimedia Tools and Applications, special issue on Image and Video Coding Techniques, Multimedia Too Kluwer Academic Publishers.
H. Man, F. Kossentini and M. J. T. Smith. (Aug 1997). "Robust EZW Image Coding For Noisy Channels", IEEE Signal Processing Letter, 4 (8), 227-229.