文章基本信息

标题：Parallel Recognition and Classification of Objects
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作者：Naiouf M. ; Felice R. ; Ruscitti F. 等
期刊名称：Journal of Computer Science and Technology
印刷版ISSN：1666-6046
电子版ISSN：1666-6038
出版年度：1999
卷号：1
期号：1
出版社：Iberoamerican Science & Technology Education Consortium
摘要：The development of parallel algorithms for an automatic recognition and classification ofobjects from an industrial line (either production or packaging) is presented. This kind ofproblem introduces a temporal restriction on images processing, a parallel resolution beingtherefore required.We have chosen simple objects (fruits, eggs, etc.), which are classified according tocharacteristics such as shape, color, size, defects (stains, loss of color), etc. By means of thisclassification, objects can be sent, for example, to different sectors of the line.Algorithms parallelization on a heterogeneous computers network with a PVM (ParallelVirtual Machine) support is studied in this paper.Finally, some quantitative results obtained from the application of the algorithm on arepresentative sample of real images are presented