Parallel recognition and classification of objects

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 hav...

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Detalles Bibliográficos
Autores principales: Felice, Rodrigo, Ruscitti, Fernando, Naiouf, Marcelo, De Giusti, Armando Eduardo
Formato: Articulo
Lenguaje:Inglés
Publicado: 1999
Materias:
Ciencias Informáticas
Parallelism and concurrency
Image processing software
Computer vision
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9379
http://journal.info.unlp.edu.ar/wp-content/uploads/2015/papers_01/ARTIC.PDF
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-9379
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
Parallelism and concurrency
Image processing software
Computer vision
spellingShingle Ciencias Informáticas
Parallelism and concurrency
Image processing software
Computer vision
Felice, Rodrigo
Ruscitti, Fernando
Naiouf, Marcelo
De Giusti, Armando Eduardo
Parallel recognition and classification of objects
topic_facet Ciencias Informáticas
Parallelism and concurrency
Image processing software
Computer vision
description 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.
format Articulo
Articulo
author Felice, Rodrigo
Ruscitti, Fernando
Naiouf, Marcelo
De Giusti, Armando Eduardo
author_facet Felice, Rodrigo
Ruscitti, Fernando
Naiouf, Marcelo
De Giusti, Armando Eduardo
author_sort Felice, Rodrigo
title Parallel recognition and classification of objects
title_short Parallel recognition and classification of objects
title_full Parallel recognition and classification of objects
title_fullStr Parallel recognition and classification of objects
title_full_unstemmed Parallel recognition and classification of objects
title_sort parallel recognition and classification of objects
publishDate 1999
url http://sedici.unlp.edu.ar/handle/10915/9379
http://journal.info.unlp.edu.ar/wp-content/uploads/2015/papers_01/ARTIC.PDF
work_keys_str_mv AT felicerodrigo parallelrecognitionandclassificationofobjects
AT ruscittifernando parallelrecognitionandclassificationofobjects
AT naioufmarcelo parallelrecognitionandclassificationofobjects
AT degiustiarmandoeduardo parallelrecognitionandclassificationofobjects
bdutipo_str Repositorios
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