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Autofocus Entropy Repositioning Method Bioinspired in the Magnetic Field Memory of the Bees Applied to Pollination.
Santos, Daniel de Matos Luna Dos; Santana, Ewaldo Eder Carvalho; Junior, Paulo Fernandes da Silva; Queiroz, Jonathan Araujo; Neto, João Viana da Fonseca; Barros, Allan Kardec; Augusto de Moraes Cruz, Carlos; de Aquino, Viviane S; de Castro, Luís S O; Freire, Raimundo Carlos Silvério; Silva, Paulo Henrique da Fonseca.
Afiliação
  • Santos DMLD; Graduating Program in Electrical Engineering, Federal University of Maranhão, Sao Luis 65085-580, Brazil.
  • Santana EEC; Gradutation Program in Computation Engineering and Systems, State University of Maranhão, Sao Luis 65081-000, Brazil.
  • Junior PFDS; Gradutation Program in Computation Engineering and Systems, State University of Maranhão, Sao Luis 65081-000, Brazil.
  • Queiroz JA; Graduating Program in Electrical Engineering, Federal University of Maranhão, Sao Luis 65085-580, Brazil.
  • Neto JVDF; Graduating Program in Electrical Engineering, Federal University of Maranhão, Sao Luis 65085-580, Brazil.
  • Barros AK; Graduating Program in Electrical Engineering, Federal University of Maranhão, Sao Luis 65085-580, Brazil.
  • Augusto de Moraes Cruz C; Graduation Program in Electrical Engineering, Federal University of Amazonas, Manaus 69080-900, Brazil.
  • de Aquino VS; Graduation Program in Electrical Engineering, Federal University of Amazonas, Manaus 69080-900, Brazil.
  • de Castro LSO; Graduation Program in Electrical Engineering, Federal University of Amazonas, Manaus 69080-900, Brazil.
  • Freire RCS; Electrical Engineering Department, Federal University of Campina Grande, Campina Grande 58019-900, Brazil.
  • Silva PHDF; Coordination of PostGraduate Studies in Electrical Enginnering, Federal Institute of Paraíba, Joao Pessoa 58059-900, Brazil.
Sensors (Basel) ; 21(18)2021 Sep 16.
Article em En | MEDLINE | ID: mdl-34577405
In this paper, a bioinspired method in the magnetic field memory of the bees, applied in a rover of precision pollination, is presented. The method calculates sharpness features by entropy and variance of the Laplacian of images segmented by color in the HSV system in real-time. A complementary positioning method based on area feature extraction between active markers was developed, analyzing color characteristics, noise, and vibrations of the probe in time and frequency, through the lateral image of the probe. From the observed results, it can be seen that the unsupervised method does not require previous calibration of target dimensions, histogram, and distances involved in positioning. The algorithm showed less sensitivity in the extraction of sharpness characteristics regarding the number of edges and greater sensitivity to the gradient, allowing unforeseen operation scenarios, even in small sharpness variations, and robust response to variance local, temporal, and geophysical of the magnetic declination, not needing luminosity after scanning, with the two freedom of degrees of the rotation.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Polinização Limite: Animals Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Polinização Limite: Animals Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça