Comparison of shape analysis methods for Guinardia citricarpa ascospore characterization

Among the diseases affecting the commercial citrus production, the citrus black spot (CBS) is considered to cause substantial losses. The analyses of particles in suspension in the orchards and collected into a disc have been applied as a preventive action trying to identify the presence of fungus s...

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Autores principales:	Pazoti,Mário Augusto, Garcia,Rogério Eduardo, Cruz Pessoa,José Dalton, Martinez Bruno,Odemir
Lenguaje:	English
Publicado:	Pontificia Universidad Católica de Valparaíso 2005
Materias:	computer vision curvature pattern recognition shape analysis shape signature and projection
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582005000300006
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spelling	oai:scielo:S0717-345820050003000062006-01-26Comparison of shape analysis methods for Guinardia citricarpa ascospore characterizationPazoti,Mário AugustoGarcia,Rogério EduardoCruz Pessoa,José DaltonMartinez Bruno,Odemir computer vision curvature pattern recognition shape analysis shape signature and projection Among the diseases affecting the commercial citrus production, the citrus black spot (CBS) is considered to cause substantial losses. The analyses of particles in suspension in the orchards and collected into a disc have been applied as a preventive action trying to identify the presence of fungus spores before symptom appearance. In this paper, we show the results of several shape analysis methods applied to the fungus, the first step to the aimed computer aided vision system, capable to assist the identification process. Experiments and comparative results among the methods are presented in this paper, showing that better results were obtained applying the curvature methodinfo:eu-repo/semantics/openAccessPontificia Universidad Católica de ValparaísoElectronic Journal of Biotechnology v.8 n.3 20052005-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582005000300006en
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	computer vision curvature pattern recognition shape analysis shape signature and projection
spellingShingle	computer vision curvature pattern recognition shape analysis shape signature and projection Pazoti,Mário Augusto Garcia,Rogério Eduardo Cruz Pessoa,José Dalton Martinez Bruno,Odemir Comparison of shape analysis methods for Guinardia citricarpa ascospore characterization
description	Among the diseases affecting the commercial citrus production, the citrus black spot (CBS) is considered to cause substantial losses. The analyses of particles in suspension in the orchards and collected into a disc have been applied as a preventive action trying to identify the presence of fungus spores before symptom appearance. In this paper, we show the results of several shape analysis methods applied to the fungus, the first step to the aimed computer aided vision system, capable to assist the identification process. Experiments and comparative results among the methods are presented in this paper, showing that better results were obtained applying the curvature method
author	Pazoti,Mário Augusto Garcia,Rogério Eduardo Cruz Pessoa,José Dalton Martinez Bruno,Odemir
author_facet	Pazoti,Mário Augusto Garcia,Rogério Eduardo Cruz Pessoa,José Dalton Martinez Bruno,Odemir
author_sort	Pazoti,Mário Augusto
title	Comparison of shape analysis methods for Guinardia citricarpa ascospore characterization
title_short	Comparison of shape analysis methods for Guinardia citricarpa ascospore characterization
title_full	Comparison of shape analysis methods for Guinardia citricarpa ascospore characterization
title_fullStr	Comparison of shape analysis methods for Guinardia citricarpa ascospore characterization
title_full_unstemmed	Comparison of shape analysis methods for Guinardia citricarpa ascospore characterization
title_sort	comparison of shape analysis methods for guinardia citricarpa ascospore characterization
publisher	Pontificia Universidad Católica de Valparaíso
publishDate	2005
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582005000300006
work_keys_str_mv	AT pazotimarioaugusto comparisonofshapeanalysismethodsforguinardiacitricarpaascosporecharacterization AT garciarogerioeduardo comparisonofshapeanalysismethodsforguinardiacitricarpaascosporecharacterization AT cruzpessoajosedalton comparisonofshapeanalysismethodsforguinardiacitricarpaascosporecharacterization AT martinezbrunoodemir comparisonofshapeanalysismethodsforguinardiacitricarpaascosporecharacterization
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Comparison of shape analysis methods for Guinardia citricarpa ascospore characterization

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