Extraction of rotation invariant signature based on fractalgeometry
Tao, Y.
Ioerger, T.R.
Tang, Y.Y.
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX;
This paper appears in: Image Processing, 2001. Proceedings. 2001 International Conference on
Publication Date: 2001
Volume: 1,
On page(s): 1090-1093 vol.1
Meeting Date: 10/07/2001 - 10/10/2001
Location: Thessaloniki, Greece
ISBN: 0-7803-6725-1
References Cited: 2
INSPEC Accession Number: 7211053
Digital Object Identifier: 10.1109/ICIP.2001.959239
Posted online: 2002-08-07 00:33:10.0
Abstract
A new method of feature extraction with a rotation invariant
property is presented. One of the main contributions of this study is
that a rotation invariant signature of 2D contours is selected based on
fractal theory. The rotation invariant signature is a measure of the
fractal dimensions, which is rotation invariant based on a series of
central projection transform (CPT) groups. As the CPT is applied to a 2D
object, a unique contour is obtained. In the unfolding process, this
contour is further spread into a central projection unfolded curve,
which can be viewed as a periodic function due to the different
orientations of the pattern. We consider the unfolded curves to be
non-empty and bounded sets in IRn, and the central projection
unfolded curves with respect to the box computing dimension are rotation
invariant. Some experiments with positive results have been conducted.
This approach is applicable to a wide range of areas such as image
analysis, pattern recognition etc
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