Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/580498
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dc.contributor.authorCRUVINEL, P. E.
dc.contributor.authorMINATEL, E. R.
dc.date.accessioned2025-06-27T19:48:15Z-
dc.date.available2025-06-27T19:48:15Z-
dc.date.created2010-01-14
dc.date.issued2002
dc.identifier.citationIn: WORLD CONGRESS OF COMPUTERS IN AGRICULTURE AND NATURAL RESOURCES, 2001, Iguaçu Falls. Proceedings... St. Joseph: American Society of Agricultural Engineers, 2002. p.56-61.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/580498-
dc.descriptionAbstract: A rapid method for automated classification of oranges in living trees by size has been developed. It is based on image processing with correlation analysis in the frequency domain. This technique has the advantage of being a direct measurement method that automatically identifies and counts oranges for quality control. Calibration was performed using standard image with known orange sizes. Orange’s sizes, ranging from less then 2 cm to over 10 cm in diameter have been automatically recognized and successfully measured. Error was not larger than 1.4%. In addition, practical examples of use of the method for determining characteristics of oranges are presented.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectProcessamento de imagem
dc.titleImage processing in automated pattern classification of oranges.
dc.typeArtigo em anais e proceedings
dc.subject.thesagroLaranja
riaa.ainfo.id580498
riaa.ainfo.lastupdate2025-06-27
dc.contributor.institutionPAULO ESTEVAO CRUVINEL, CNPDIA.
Aparece nas coleções:Artigo em anais de congresso (CNPDIA)

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