Geoff Neil
Shape recognition using a novel fractal technique
Neil, Geoff; Curtis, K. Mervin; Craven, Michael
Abstract
Fractal transformations are an exciting new scale invariant shape recognition technique developed by the authors. They have been successfully used for spatially invariant shape recognition using a cumbersome rotational invariance algorithm. Within this paper a new rotational invariance algorithm is presented which makes the recognition process inherently rotationally invariant. A full discussion of fractal recognition is given and previous results discussed. The new algorithm is detailed and applied to a difficult recognition problem. The results of this application show that the new algorithm is successful in achieving the desired effect.
Citation
Neil, G., Curtis, K. M., & Craven, M. (1996, October). Shape recognition using a novel fractal technique. Presented at Third IEEE International Conference on Electronics, Circuits, and Systems, Rhodes, Greece
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | Third IEEE International Conference on Electronics, Circuits, and Systems |
Start Date | Oct 16, 1996 |
Online Publication Date | Aug 6, 2002 |
Publication Date | 1996 |
Deposit Date | Jan 18, 2023 |
Publisher | Institute of Electrical and Electronics Engineers |
Book Title | Proceedings of Third International Conference on Electronics, Circuits, and Systems |
ISBN | 078033650X |
DOI | https://doi.org/10.1109/ICECS.1996.584464 |
Public URL | https://nottingham-repository.worktribe.com/output/13755417 |
Publisher URL | https://ieeexplore.ieee.org/document/584464 |
You might also like
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search