Título:	Image processing in automated pattern classification of oranges.
Autoria:	CRUVINEL, P. E. MINATEL, E. R.
Afiliação:	Embrapa Instrumentação Agropecuária, São Carlos, SP.
Ano de publicação:	2002
Referência:	In: WORLD CONGRESS OF COMPUTERS IN AGRICULTURE AND NATURAL RESOURCES-WCCA, 2002, Iguaçu Falls. 7 f. Disponível em <http://wcca.ifas.ufl.edu/technicalprogram1.html > Acessado em: 11.11.2002.
Conteúdo:	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 idenfies and counts oranges for quality control. Calibration was performed using standard imae 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.
Palavras-chave:	Machine vision Agricultural instrumentation Orange measurement
Tipo do material:	Artigo em anais e proceedings
Acesso:	openAccess
Aparece nas coleções:	Artigo em anais de congresso (CNPDIA)