Hough-transform based algorithm for the automatic invariant recognition of rectangular chocolates. Detection of defective pieces.

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The Hough Transform has been used to develop an algorithm for rotation, translation and size-scaling invariant pattern recognition of polygonal objects. In this research the developed system has been successfully applied to the automatic invariant recognition of rectangular chocolates, including ide...

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Detalles Bibliográficos
Autor: Montenegro Joo, Javier
Formato: artículo
Fecha de Publicación:2006
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revista UNMSM - Industrial Data
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/6617
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6617
Nivel de acceso:acceso abierto
Materia:Artificial intelligence
cybernetic vision
pattern recognition
invariant shape classification
Polar Hough transform.
Inteligencia artificial
visión cibernética
reconocimiento del modelo
clasificación invariante de formas
Transformada Polar de Hough.
Descripción
Sumario:The Hough Transform has been used to develop an algorithm for rotation, translation and size-scaling invariant pattern recognition of polygonal objects. In this research the developed system has been successfully applied to the automatic invariant recognition of rectangular chocolates, including identification of defective samples. Since the entire performance of the resulting system is autonomous, the results may be applied to automatic quality control applications in the industry.
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