Comparison of shape analysis methods for Guinardia citricarpa ascospore characterization

Autor(es)

Mário Augusto Pazoti ^[1] ; Rogério Eduardo Garcia ^[2] ; José Dalton Cruz Pessoa ^[3] ; Odemir Martinez Bruno ^[4]

Afiliação do(s) autor(es)

^[1] University of São Paulo. Institute of Mathematics and Computer Science - Brasil

^[2] University of São Paulo. Institute of Mathematics and Computer Science - Brasil

^[3] Embrapa Instrumentação Agropecuária - Brasil

^[4] University of São Paulo. Institute of Mathematics and Computer Science - Brasil

• Tipo de documento: Artigo Científico
• Fonte: ELECTRONIC JOURNAL OF BIOTECHNOLOGY; v. 8, n. 3, p. 0-0, 2005-12-15.

Resumo

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 (AU)

• Processo FAPESP: 03/04826-9 - Um sistema de visao artificial para identificar o fungo guignardia citricarpa, causador da mancha preta (mpc) em citros.
• Beneficiário: Mário Augusto Pazoti
• Modalidade de apoio: Bolsas no Brasil - Mestrado