Título:	Image processing in automated pattern classification of oranges.
Autoria:	CRUVINEL, P. E. MINATEL, E. R.
Afiliação:	PAULO ESTEVAO CRUVINEL, CNPDIA.
Ano de publicação:	2002
Referência:	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.
Conteúdo:	A rapid method for evaluating raindrop size and size distribution 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 raindrops. Calibration was carried out using a standard image with known raindrop sizes. Drop sizes, ranging from less than 0.1 to over 85 mm in diameter, have been automatically recognized and successfully measured. Error was not larger than 1.5%. In addition, practical examples of use of the method for determining characteristics of raindrops in rainfall are presented,
Thesagro:	Laranja
Palavras-chave:	Processamento de imagem
Tipo do material:	Artigo em anais e proceedings
Acesso:	openAccess
Aparece nas coleções:	Artigo em anais de congresso (CNPDIA)