Parallel recognition and classification of objects

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Detalles Bibliográficos
Autor Principal: Felice, Rodrigo
Otros autores o Colaboradores: Ruscitti, Fernando, Naiouf, Ricardo Marcelo, De Giusti, Armando Eduardo
Formato: Capítulo de libro
Lengua:inglés
Temas:
ALGORITMOS PARALELOS
AUTOMATIZACIÓN INDUSTRIAL
PROCESAMIENTO DE IMÁGENES
Acceso en línea:http://goo.gl/J7w7E5
Consultar en el Cátalogo
Resumen:The development of parallel algorithms for an automatic recognition and classification of objects from an industrial line (either production or packaging) is presented. This kind of problem introduces a temporal restriction on images processing, a parallel resolution being therefore required. We have chosen simple objects (fruits, eggs, etc.), which are classified according to characteristics such as shape, color, size, defects (stains, loss of color), etc. By means of this classification, objects can be sent, for example, to different sectors of the line. Algorithms parallelization on a heterogeneous computers network with a PVM (Parallel Virtual Machine) support is studied in this paper. Finally, some quantitative results obtained from the application of the algorithm on a representative sample of real images are presented.
Notas:Formato de archivo: PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
Descripción Física:1 archivo (165,7 KB)

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520 |a The development of parallel algorithms for an automatic recognition and classification of objects from an industrial line (either production or packaging) is presented. This kind of problem introduces a temporal restriction on images processing, a parallel resolution being therefore required. We have chosen simple objects (fruits, eggs, etc.), which are classified according to characteristics such as shape, color, size, defects (stains, loss of color), etc. By means of this classification, objects can be sent, for example, to different sectors of the line. Algorithms parallelization on a heterogeneous computers network with a PVM (Parallel Virtual Machine) support is studied in this paper. Finally, some quantitative results obtained from the application of the algorithm on a representative sample of real images are presented. 
534 |a Journal of Computer Science & Technology, 1(1) 
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650 4 |a PROCESAMIENTO DE IMÁGENES  |9 43134 
700 1 |a Ruscitti, Fernando  |9 44850 
700 1 |a Naiouf, Ricardo Marcelo  |9 43376 
700 1 |a De Giusti, Armando Eduardo  |9 43366 
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