The Computer
Science Colloquium
Thursday, February 9, 4:15pm,
room 9204/9205
Ivan Kazantsev
(UPenn)
"Linear Structures in Tomography and Image Processing"
The Radon transform is one of the main mathematical tools for
computerized tomography tasks. Besides the field of tomography, the
Radon transform is a very well known technique in computer vision and
image processing, where it is used for the detection and analysis of
line features in digital images, where it is treated mostly as the Hough
transform. The suitability of the Radon transform for describing the
directional structures in terms of ridge functions has been primarily
stated by Logan and Shepp. In this presentation, reconstruction and
detection (and sometime removal) of elongated structures in images, is
illustrated by numerical experiments with structural textures and test
images.
The Colloquium is supported by generous contributions from
the Bloomberg, Information Builders, Inc. and Netlogic,
Inc.
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