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Automatic visual inspection of corn kernels using principal component analysis

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Automatic visual inspection of corn kernels using principal component analysis

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Potter, P. (2012). Automatic visual inspection of corn kernels using principal component analysis. http://hdl.handle.net/10251/15074.

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/15074

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Title: Automatic visual inspection of corn kernels using principal component analysis
Author:
Director(s): Valiente González, José Miguel
UPV Unit: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Read date / Event date:
2012-03-12
Issued date:
Abstract:
During the processing of corn, corn kernels are inspected for the purpose of determining the quality and stock value. There are many kinds of defects which can reduce the stock value whereas the difference between defects ...[+]
Subjects: Corn kernels , Food inspection , Computer vision , Principal component analysis
Copyrigths: Cerrado
degree: Ingeniería Informática-Enginyeria Informàtica
Type: Proyecto/Trabajo fin de carrera/grado

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