Speaker:  Scott T. Acton
Title:  Image Segmentation with Application to Medical Imaging
Date: 10/24
Time: 1:00 pm
Place: bldg. 10, Room 1C520 (large radiology conference room)

Abstract:
Image segmentation is the process of partitioning an image into the
constituent homogeneous regions. Segmentation is a vital component in
several medical imaging analysis systems. This talk will describe new
methods of segmentation based on partial differential equations,
scale-space, and image morphology. Important related applications such as
image classification, object-based image coding, and object tracking will
be discussed.

Background:
Scott Acton received the B.S. degree in Electrical Engineering from
Virginia Tech in 1988, the M.S. degree in Electrical and Computer
Engineering and the Ph.D. degree in Electrical and Computer Engineering
from the University of Texas at Austin in 1990 and 1993, respectively. He
has worked in industry for AT&T, the MITRE Corporation and Motorola, Inc.
Currently, Dr. Acton is an Associate Professor in the department of
Electrical Engineering at the University of Virginia. He serves as
Associate Editor for the IEEE Transactions on Image Processing. Dr. Acton
has recently been named the Eta Kappa Nu Outstanding Young Electrical
Engineer a national award that has been given annually since 1936.