On improved deformable template matching for polygonal objects

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...

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Detalles Bibliográficos
Autores principales:	Luo, Jianshu, Tang, Zeying, Lu, Hanqing
Formato:	Articulo
Lenguaje:	Inglés
Publicado:	2004
Materias:	Ciencias Informáticas genetic algorithm orthogonal curve deformable template; orthogonal curve; polygonal object; matching; genetic algorithm
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/9475 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr04-3.pdf
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-9475
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas genetic algorithm orthogonal curve deformable template; orthogonal curve; polygonal object; matching; genetic algorithm
spellingShingle	Ciencias Informáticas genetic algorithm orthogonal curve deformable template; orthogonal curve; polygonal object; matching; genetic algorithm Luo, Jianshu Tang, Zeying Lu, Hanqing On improved deformable template matching for polygonal objects
topic_facet	Ciencias Informáticas genetic algorithm orthogonal curve deformable template; orthogonal curve; polygonal object; matching; genetic algorithm
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.
format	Articulo Articulo
author	Luo, Jianshu Tang, Zeying Lu, Hanqing
author_facet	Luo, Jianshu Tang, Zeying Lu, Hanqing
author_sort	Luo, Jianshu
title	On improved deformable template matching for polygonal objects
title_short	On improved deformable template matching for polygonal objects
title_full	On improved deformable template matching for polygonal objects
title_fullStr	On improved deformable template matching for polygonal objects
title_full_unstemmed	On improved deformable template matching for polygonal objects
title_sort	on improved deformable template matching for polygonal objects
publishDate	2004
url	http://sedici.unlp.edu.ar/handle/10915/9475 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr04-3.pdf
work_keys_str_mv	AT luojianshu onimproveddeformabletemplatematchingforpolygonalobjects AT tangzeying onimproveddeformabletemplatematchingforpolygonalobjects AT luhanqing onimproveddeformabletemplatematchingforpolygonalobjects
bdutipo_str	Repositorios
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On improved deformable template matching for polygonal objects

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