This abstract corresponds to the paper titled
"Using the Generalized Radon Transform for 
Detection of Curves in Noisy Images" by 
Peter A. Toft,
Electronics Institute,
Technical University of Denmark, DK-2800 Lyngby.
Email ptoft@ei.dtu.dk. Phone +45 45934207
The paper is available at
 ftp://ei.dtu.dk/dist/1995/ptoft.GenRadon.ICASSSP96.ps.Z

The paper will be presented as a poster at the ICASSP 96 
in session MDSP10.

                          ABSTRACT

In this paper the discrete generalized Radon transform will be
investigated as a tool for detection of curves in noisy digital
images.  The discrete generalized Radon transform maps an image into a
parameter domain, where curves following a specific parameterized
curve form will correspond to a peak in the parameter domain. A major
advantage of the generalized Radon transform is that the curves are
allowed to intersect.  This enables a thresholding algorithm in the
parameter domain for simultaneous detection of curve parameters. A
threshold level based on the noise level in the image is derived.  A
numerical example is presented to illustrate the theory.