Abstract
In this paper, a genetic Fourier descriptors is proposed to detect rotational symmetry. Rotational symmetry is one of the important features for image decoding and object recognition in computer vision systems. In the genetic Fourier algorithm, the Fourier descriptors are chromosomes and fitting function of the GA. The genetic Fourier method has the following advantages. (1) It can handle partially occurred contour and opened contour, (2) it can handle complex point pattern and (3) it can obtain multiple perceptions. Experimental results show that it can handle complex symmetry figures, these symmetry figures may be formed by separated curves, points or partially occurred or partially missed (opened contour). © 2006 Elsevier B.V. All rights reserved.
| Original language | English |
|---|---|
| Pages (from-to) | 148-154 |
| Journal | Image and Vision Computing |
| Volume | 25 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Feb 2007 |
| Externally published | Yes |
Bibliographical note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to <a href="mailto:[email protected]">[email protected]</a>.Research Keywords
- Fourier descriptors
- Genetic algorithm
- Rotational symmetry detection
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