Data/hora: 10/06/2024 14:20:43

Provedor de dados: 	53	
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	
Fonte: 	info:eu-repo/semantics/openAccess