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Comparison of shape analysis methods for Guinardia citricarpa ascospore characterization
Pazoti, Mário Augusto; Garcia, Rogério Eduardo; Pessoa, José Dalton Cruz; Bruno, Odemir Martinez.
Affiliation
  • Pazoti, Mário Augusto; University of São Paulo. Institute of Mathematics and Computer Science. São Paulo. BR
  • Garcia, Rogério Eduardo; University of São Paulo. Institute of Mathematics and Computer Science. São Paulo. BR
  • Pessoa, José Dalton Cruz; Embrapa Instrumentação Agropecuária. SP. BR
  • Bruno, Odemir Martinez; University of São Paulo. Institute of Mathematics and Computer Science. São Paulo. BR
Electron. j. biotechnol ; 8(3)Dec. 2005. ilus
Article in En | LILACS | ID: lil-448792
Responsible library: CL1.1
ABSTRACT
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.
Subject(s)
Full text: 1 Index: LILACS Main subject: Ascomycota / Spores, Fungal / Pattern Recognition, Automated / Image Interpretation, Computer-Assisted / Citrus Language: En Journal: Electron. j. biotechnol Journal subject: BIOTECNOLOGIA Year: 2005 Type: Article / Project document
Full text: 1 Index: LILACS Main subject: Ascomycota / Spores, Fungal / Pattern Recognition, Automated / Image Interpretation, Computer-Assisted / Citrus Language: En Journal: Electron. j. biotechnol Journal subject: BIOTECNOLOGIA Year: 2005 Type: Article / Project document