By Topic

Histogram coding for recognition of contours presented by Bezier curves

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kussul, M. ; Dept. of Neural Comput., Institute of Mathematical Machines & Syst., Kiev, Ukraine ; Galinskaya, A.

In the pattern recognition area, one of the most important tasks is the ability of a neural network to classify objects regardless of affine transformations. Contoured objects can be described with Bezier curves and the description is affine transformation invariant. Direct use of the curves for a neural network input isn't applicable because it's possible that descriptions of the same objects consist of different number of Bezier curves. We propose histogram coding, decomposing a list of Bezier curves, which can be used as an input for a neural network. Experiments show that proposed coding gives good results to solve formulated problem.

Published in:

Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on  (Volume:4 )

Date of Conference:

25-29 July 2004