2006 Graduate Catalog and 2005 Annual R & D Report - Sirindhorn ...

2006 Graduate Catalog and 2005 Annual R & D Report
Sirindhorn International Institute of Technology (SIIT)
Research Interests:
Digital Image Processing (especially Medical
Image Processing)
Feature detection and image segmentation are the
primary areas of my research interests. “Analysis of
3-D maxillofacial image data” is the title of my
doctoral dissertation, which focused on the analysis of
the human dentition and jawbone for orthodontic
treatment and surgery. The extraction of anatomical
features in retinal images is one of my recent
research topics.
Computer Vision and Remote Sensing
Depth estimation and motion analysis are the areas of
my long-term research interests. Depth estimation is
the central issue in dealing with stereo (or more)
images, while motion analysis is concerned about the
process of time-sequential images. I am particularly
interested in the “correspondence problem” that has
to be solved for estimating both depth and motion.
Object Classification and Recognition
Image understanding is another area of my interests.
This category has various applications for
bioinformatics and industry, such as security control,
parts inspection, grading and sorting, etc. A popular
research topic in bioinformatics is human face
recognition which I have worked on.
Dr. Waree Kongprawechnon
Associate Professor
B.Eng. (1 st Class Honors) in Electrical Engineering, Chulalongkorn University, Thailand
M.Eng. in Control Engineering, Osaka University, Japan
Ph.D. in Mathematical Engineering and Information Physics, University of Tokyo, Japan
Areas of Specialization: The theory in H ∞ control, the theory in Robust control.
Research Interests:
H ∞ Control
The advent of H ∞ control was a truly remarkable
innovation in multivariable theory. It eliminated the
classical/modern dichotomy by formulating the design
issues of classical control property and has solved it
based on the state-space tool of modern theory. The
theory-practice gap was no longer a significant issue
at the beginning of the 1990s due to a number of
successful applications of H ∞ control to real design
problems, especially applications of H ∞ control based
robust control theory.
Robust Control
No mathematical system can exactly model a
physical system. Nowadays it is gradually being
recognized that the real issue of control engineering
we were faced with was the difficulty of modeling the
plant to be controlled. For this reason we must be
aware of how modeling errors might adversely affect
the performance of a control system. Robust control
theory became the most popular area that was
expected to deal with model uncertainty.
School of Information and Computer Technology
Faculty Members and Research Interests, 2006
Dr. Bunyarit Uyyanonvara
Assistant Professor
B.Sc. (1 st Class Honors) in Science (Physics), Prince of Songkhla University, Thailand
Ph.D. in Image Processing, King's College, London, UK
Areas of Specialization: Image processing, Texture segmentation, Relaxation labeling, Medical imaging
Research Interests:
Image Segmentation Using Texture and
Relaxation Labeling Algorithms
When normal density or intensity segmentation is not
effective enough, a new representation of texture
which is derived from the spatial energy of the texture
is introduced in order to segment the given image.
From the energy values, a 2D histogram of texture is
generated. The texture histogram is used to
discriminate textures and to retrieve image
segmentation. In an attempt to assess the similarities
in the regional areas, the property of adjacency could
be useful. This characteristic of pixels is defined as a
co-occurrence matrix, which is an important tool in
Image Segmentation using Texture and Relaxation
Labeling Algorithms.
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