Data/hora: 17/06/2024 07:55:48

Biblioteca(s): | Embrapa Instrumentação.
Data corrente: | 19/08/2003
Data da última atualização: | 14/01/2010
Autoria: | CRUVINEL, P. E.; MINATEL, E. R.
Afiliação: | PAULO ESTEVAO CRUVINEL, CNPDIA.
Título: | Image processing in automated pattern classification of oranges.
Ano de publicação: | 2002
Fonte/Imprenta: | 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.
Idioma: | Inglês
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: | Agricultural instrumentation; Machine vision; Orange measurement; Processamento de imagem.
Thesagro: | Laranja.
Categoria do assunto: | --
Registro original: | Embrapa Instrumentação (CNPDIA)

Exemplares:

CNPDIA - (7938-1) - UPC - SP - -- - PROCI-02.00087 -  - 2002.00087 - DIS
CNPDIA - (12587-1) - UPC - SP - PP - PROCI-02.00171 -  - 2002.00171 - DIS