| dc.creator | Pazoti,Mário Augusto | |
| dc.creator | Garcia,Rogério Eduardo | |
| dc.creator | Cruz Pessoa,José Dalton | |
| dc.creator | Martinez Bruno,Odemir | |
| dc.date | 2005-12-01 | |
| dc.date.accessioned | 2019-05-03T12:44:13Z | |
| dc.date.available | 2019-05-03T12:44:13Z | |
| dc.identifier | https://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0717-34582005000300006 | |
| dc.identifier.uri | http://revistaschilenas.uchile.cl/handle/2250/84833 | |
| dc.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 | |
| dc.format | text/html | |
| dc.language | en | |
| dc.publisher | Pontificia Universidad Católica de Valparaíso | |
| dc.relation | 10.4067/S0717-34582005000300006 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.source | Electronic Journal of Biotechnology v.8 n.3 2005 | |
| dc.subject | computer vision | |
| dc.subject | curvature | |
| dc.subject | pattern recognition | |
| dc.subject | shape analysis | |
| dc.subject | shape signature and projection | |
| dc.title | Comparison of shape analysis methods for Guinardia citricarpa ascospore characterization | |
