| Issue |
EPJ Web Conf.
Volume 173, 2018
Mathematical Modeling and Computational Physics 2017 (MMCP 2017)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 8 | |
| Section | Plenary and Invited Lectures | |
| DOI | https://doi.org/10.1051/epjconf/201817301003 | |
| Published online | 14 February 2018 | |
https://doi.org/10.1051/epjconf/201817301003
Shape Approximation Based on Higher-Degree Polynomials
Laboratory of Information Technology, Joint Institute for Nuclear Research, Dubna, Russia
* e-mail: dnd@jinr.ru
Published online: 14 February 2018
The planar shape (contour) of an object is a fundamental source of information in a pattern recognition problem. Obtaining the relevant information set rests on difficult procedures and is a key problem in pattern recognition. A method is proposed for the segmentation of contours with a complex geometrical form. It is based on a parametric piecewise approximation of 12th order spanned by a polynomial model defined by basic elements. Higher-order polynomial approximation allows to optimize the number of segments on the contour and to obtain analytically the dependence of the curvature for more exact calculation of informative signs that are invariant to geometrical transformations. The algorithm based on this method as well as specific examples are described in detail.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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