Title:	Image processing in automated pattern classification of oranges.
Authors:	CRUVINEL, P. E. MINATEL, E. R.
Affiliation:	PAULO ESTEVAO CRUVINEL, CNPDIA.
Date Issued:	2002
Citation:	In: WORLD CONGRESS OF COMPUTERS IN AGRICULTURE AND NATURAL RESOURCES, 2001, Iguaçu Falls. Proceedings... St. Joseph: American Society of Agricultural Engineers, 2002. p.56-61.
Description:	Abstract: 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.
Thesagro:	Laranja
Keywords:	Processamento de imagem
Type of Material:	Artigo em anais e proceedings
Access:	openAccess
Appears in Collections:	Artigo em anais de congresso (CNPDIA)