Título:	Image processing in automated pattern classification of oranges.
Autor:	CRUVINEL, P. E. MINATEL, E. R.
Afiliación:	PAULO ESTEVAO CRUVINEL, CNPDIA.
Año:	2002
Referencia:	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.
Descripción:	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
Palabras clave:	Processamento de imagem
Tipo de Material:	Artigo em anais e proceedings
Acceso:	openAccess
Aparece en las colecciones:	Artigo em anais de congresso (CNPDIA)