Detection of partial occlusions of assembled components to simplify the disassembly tasks
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Título: | Detection of partial occlusions of assembled components to simplify the disassembly tasks |
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Autor/es: | Gil, Pablo | Torres, Fernando | Ortiz Zamora, Francisco Gabriel | Reinoso García, Óscar |
Grupo/s de investigación o GITE: | Automática, Robótica y Visión Artificial |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad Miguel Hernández. Departamento de Ingeniería de Sistemas Industriales |
Palabras clave: | Assembled components | Bi-dimensional histogram | Colour segmentation | Colour space | Edges | Overlapping | Thresholding | Partial occlusions | Regions |
Área/s de conocimiento: | Ingeniería de Sistemas y Automática |
Fecha de creación: | 2004 |
Fecha de publicación: | nov-2005 |
Editor: | Springer London |
Cita bibliográfica: | GIL VÁZQUEZ, Pablo, et al. “Detection of partial occlusions of assembled components to simplify the disassembly tasks”. The International Journal of Advanced Manufacturing Technology. Vol. 30, No. 5-6 (Sept. 2006). ISSN 0268-3768, pp. 530-539 |
Resumen: | An automatic disassembly cell requires of a computer vision system for recognition and localization of the products and each of theirs components. The detection of occlusions adds more information to the knowledge base to identify components and products, and generate a trustworthy and precise relational model (generic graph of hierarchic relations among the different components that make up the product). In this paper, a method to detect partial occlusions in assembled components is presented. This method is based on the fusion of regions and edges information, and it offers a certain degree of simplification for the recognition and modelled of the disassembly tasks, of the set of components which compose the product. The proposed approach to detect regions is a hybrid approach between RGB and HSV spaces. The bi-dimensional histogram V/S is employed for the selection of the appropriate thresholds which serve as an aid to diminish the influence of the highlights and shadows in images. The goal of this paper is to present an approach for the detection of occlusions in assembled components from a combination of HSV and RGB spaces, a bi-dimensional histogram and an edge detector. |
Patrocinador/es: | This work was funded by the following Spanish MCYT project “DESAURO: Desensamblado Automático Selectivo para Reciclado mediante Robots Cooperativos y Sistema Multisensorial” (MCYT (DPI2002-02103). |
URI: | http://hdl.handle.net/10045/7318 |
ISSN: | 0268-3768 (Print) | 1433-3015 (Online) |
DOI: | 10.1007/s00170-005-0055-4 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | The original publication is available at www.springerlink.com |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.1007/s00170-005-0055-4 |
Aparece en las colecciones: | INV - AUROVA - Artículos de Revistas |
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