| dc.creator | Luo, Jianshu | |
| dc.creator | Tang, Zeying | |
| dc.creator | Lu, Hanqing | |
| dc.date | 2004-04 | |
| dc.date | 2004-08-11T03:00:00Z | |
| dc.identifier | http://sedici.unlp.edu.ar/handle/10915/9475 | |
| dc.identifier | http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr04-3.pdf | |
| dc.identifier | issn:1666-6038 | |
| dc.description | In this paper, an improvement of deformable template matching algorithm for polygonal objects in grayscale images using two-dimensional deformable templates along orthogonal curves is presented. In the process of pre-computing extensions of the deformable template along orthogonal curves, the novel matching approach incorporates adapting knowledge-specific template discretization techniques appropriate for different polygonal objects and minimizing the improved internal and external energy terms containing inter-shape information of polygonal objects. In our application, this energy optimization problem of the deformable template is efficiently solved by a genetic algorithm (GA). Our algorithm has been successfully applied on synthetic images and real images. The experiment results show that the new approach provides more robust and accurate matching method. | |
| dc.description | Facultad de Informática | |
| dc.format | application/pdf | |
| dc.format | 20-25 | |
| dc.language | en | |
| dc.relation | Journal of Computer Science & Technology | |
| dc.relation | vol. 4, no. 1 | |
| dc.rights | http://creativecommons.org/licenses/by-nc/3.0/ | |
| dc.rights | Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) | |
| dc.subject | Ciencias Informáticas | |
| dc.title | On improved deformable template matching for polygonal objects | |
| dc.type | Articulo | |
| dc.type | Articulo | |
