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Título: On improved deformable template matching for polygonal objects
Autores: Luo, Jianshu
Tang, Zeying
Lu, Hanqing
Fecha: 2004-08-11
2004
Publicador: Unversidad Nacional de La Plata
Fuente:


Tipo: Articulo
Articulo
Tema: deformable template; orthogonal curve; polygonal object; matching; genetic algorithm
Ciencias Informáticas
Algoritmos
Optimización
Problemas y Algoritmos Nonuméricos
Descripción: 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.
Idioma: Inglés