Título: Detection of partial occlusions of assembled components to simplify the disassembly tasks
Autores: Gil Vázquez, Pablo
Torres Medina, Fernando
Ortiz Zamora, Francisco Gabriel
Reinoso García, Óscar
Fecha: 2008-08-01
2008-08-01
2004
2005-11
Publicador: RUA Docencia
Fuente:
Tipo: info:eu-repo/semantics/article
Tema: Assembled components
Bi-dimensional histogram
Colour segmentation
Colour space
Edges
Overlapping
Thresholding
Partial occlusions
Regions
Ingeniería de Sistemas y Automática
Descripción: 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.
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).
Idioma: Inglés

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