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Provedor de dados:  Bragantia
País:  Brazil
Título:  Image processing techniques for lemons and tomatoes classification
Autores:  Lino,Antonio Carlos Loureiro
Sanches,Juliana
Fabbro,Inacio Maria Dal
Data:  2008-01-01
Ano:  2008
Palavras-chave:  Fruits and vegetables selection
ImageJ software
Machine vision
Resumo:  Vegetable quality is frequently referred to size, shape, mass, firmness, color and bruises from which fruits can be classified and sorted. However, technological by small and middle producers implementation to assess this quality is unfeasible, due to high costs of software, equipment as well as operational costs. Based on these considerations, the proposal of this research is to evaluate a new open software that enables the classification system by recognizing fruit shape, volume, color and possibly bruises at a unique glance. The software named ImageJ, compatible with Windows, Linux and MAC/OS, is quite popular in medical research and practices, and offers algorithms to obtain the above mentioned parameters. The software allows calculation of volume, area, averages, border detection, image improvement and morphological operations in a variety of image archive formats as well as extensions by means of "plugins" written in Java.
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Identificador:  http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0006-87052008000300029
Editor:  Instituto Agronômico de Campinas
Relação:  10.1590/S0006-87052008000300029
Formato:  text/html
Fonte:  Bragantia v.67 n.3 2008
Direitos:  info:eu-repo/semantics/openAccess
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