Workshop@UK: Image Processing and Computational Methods
Workshop: Image Processing and Computational Methods

Auditorium, Young Library
University of Kentucky
Lexington, Kentucky

March 21-23 (Fri-Sun), 2003
(www.ms.uky.edu/~skim/IPCM03)


Horse Riding   2002 Kentucky Derby Poster   Baboon

Organizers Workshop Motivation
Schedule/Abstracts Participants Travel Support
Transportation & Lodging Workshop Supporters Registration


Organizing Committee
The organization committee consists of five local faculty members

Name
Department
Affiliation
Seongjai Kim (chair)
skim@ms.uky.edu
Mathematics University of Kentucky
Peter Hislop
hislop@ms.uky.edu
Mathematics University of Kentucky
SungHa Kang
skang@ms.uky.edu
Mathematics University of Kentucky
Daniel L. Lau
dllau@engr.uky.edu
EE University of Kentucky
Brent Seales
seales@dcs.uky.edu
CS University of Kentucky

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Workshop Motivation

Researches in image processing have been extremely active for the last decade and resulted in lots of promising new techniques incorporating wavelet processing, total-variation minimization, anisotropic diffusion, Gaussian filtering, level set methods, and pattern recognition. Many of these new techniques have been successfully adopted in various branches of science, industrial production, and security systems, along with the advent of modern high-performance computers.

Since most objects in image processing of practical interests are computationally intensive, researchers in image processing are constantly searching for more efficient mathematical models and computational algorithms. However, new methods are yet to be developed for practical applications; for example, there is no robust edge-preserving noise removal algorithm, although lots of mathematical models have been already developed in the area from long time ago. It has been generally recognized that mathematical models may not be successfully applied without having fully considered computational methods and engineering requirements. A workshop particularly focusing on computational methods and engineering requirements is timely and important. It will certainly help engineers capture a deeper understanding of computational mathematics and also help mathematicians consider more realistic problems.

This workshop will bring together researchers (mathematical analysts, computational mathematicians, and engineers) of national and international stature in image processing. It will focus on computational issues in noise removal, feature detection, and image repair. It will be a great chance for people from various disciplines to share new ideas and initiate new research projects. The objectives of the workshop are

in the area of image processing.

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Invited Speakers
Name
Department
Affiliation
Tony Chan Mathematics UCLA
Yunmei Chen Mathematics U of Florida
Kevin D. Donohue EE University of Kentucky
Aly A. Farag ECE U of Louisville
Xiaobing Feng Mathematics University of Tennessee
Fred Gibou CS Stanford University
SungHa Kang Mathematics University of Kentucky
Daniel L. Lau EE University of Kentucky
Shaun Love IP Group Lexmark International, Inc.
Lothar Reichel Mathematics Kent State University
Shouhong Wang Mathematics Indiana University
Ross Whitaker CS University of Utah
HongKai Zhao Mathematics UC Irvine

Schedule
Mar.21 (Fri)

8:50 - 9:00 Seongjai Kim
Welcoming Remark
9:00 - 9:45 Yunmei Chen
Using prior shape and intensity profile in medical image segmentation
9:50 - 10:35 Shaun Love
Stochastic Methods in Image Rendering
10:40 - 11:00 Coffee

11:00 - 11:45 Tony Chan
A fast algorithm for variational level set image segmentation
11:50 - 1:30 Lunch

1:30 - 2:15 Ross Whitaker
A PDE-Based Framework for Processing Surfaces
2:20 - 3:05 HongKai Zhao
Imaging both the location and size of an extended target using an active array
3:10 - 3:30 Coffee

3:30 - 4:15 Sung Ha Kang
An error analysis on image inpainting problems
4:20 - 5:05 Fred Gibou
A Fast Hybrid k-Means Level Set Algorithm For Segmentation
Mar.22 (Sat)

9:00 - 9:45 Daniel L. Lau
Spatial and Spectral Characterization of Stochastic Halftones
9:50 - 10:35 Xiaobing Feng
On total variational flow and its finite element approximations
10:40 - 11:00 Coffee

11:00 - 11:45 Aly A. Farag
Stochastic models in image analysis: Parameter estimations and case studies in image segmentation
11:50 - 1:30 Lunch

1:30 - 2:15 Shouhong Wang
Structure and Motion Based on Incompressible Fluid Flows
2:20 - 3:05 Kevin Donohue
Parametric imaging for ultrasonic breast scans using the generalized spectrum
3:10 - 3:30 Coffee

3:30 - 4:15 Lothar Reichel
Iterative methods for Tikhonov regularization
4:20 - 5:05 Seongjai Kim
Efficient and reliable numerical methods for PDE-based image restoration
6:00 - Banquet

8:00 - Party
@ Dr.Kim's Home: Address, Map, and Driving Direction
Mar.23 (Sun) Morning
Local Tour for those who want

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Abstracts

Abstracts


Other Registered Participants

Name
Department
Affiliation
Robin Cooper Biology University of Kentucky
Wandi Ding Math University of Tennessee
Jayaroop Gullapalli
University of Kentucky
Mike Lhamon Imaging Lexmark
Hyeona Lim Mathematics Michigan State University
En-Bing Lin Mathematics University of Toledo, OH
Yilong Ni
Yale University
Odubola G. Omotayo Pollyventure Computer
Training Institute
Lagos, Nigeria
Naceur Omrane Surrey Space Centre University of Surrey, UK
V A Premprakash
Kerala University, India
Leila Rahmani IASBS Zanjan, Iran
Naresh Shah
U of Kentucky
Bing Song Mathematics UCLA
Khageshwar Thakur
U of Kentucky & Lexmark
Muhammad Usman Mathematics U of Cincinnati
Xiaoqin Wu Mathematics Mississippi State U
Qiang Ye Math U of Kentucky
Jun Zhang CS U of Kentucky

Registration is free and nonnecessary, but recommended. For registration, click here.

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Travel Support for Students & New PhDs

There will be a certain amount of fund allocated for partial travel supports for young researchers in image processing. For interests or questions, send email to Dr. Seongjai Kim: skim@ms.uky.edu.

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Transportation & Lodging


Workshop Supporters

We are pleased to acknowledge the following supporters for the workshop:

IMA, University of Minnesota
The Center for Computational Sciences (CCS), UK
The Department of Mathematics, UK

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Registration

For a free registration, click here.

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