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A morphological approach to the automatic detection of dark fringes of birefringence images obtained in a multipass rheometer

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Abstract

This work presents a novel approach to automatically detect the position of dark fringes in birefringence images obtained during the flow of polymers through slit dies. The determination of these positions is important for rheology, as it allows one to obtain the principal stress difference (PSD) profile along the flow centerline. The developed approach uses mathematical morphology techniques to find the patterns that characterize the birefringence fringes and to detect their center position. The proposed method was compared with other fringe center detection methods, revealing the superior accuracy of our method, and the results were compared with the semi-automated measurements obtained with the GIMP software in a previous work. In addition, the statistical analysis performed showed that the difference of the average obtained with the two methodologies can be considered irrelevant to the application at hand for most of the fringes observed in the experiments.

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Funding

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Brasil (CAPES) - Finance Code 001, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ). This work was also partially funded by FCT/MCTES through national funds, under project PlenoISLA POCI-01-0145-FEDER-028325 and when applicable co-funded by EU funds under the project UIDB/EEA/50008/2020.

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Authors and Affiliations

  1. Programa de Engenharia Elétrica (PEE), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil

    Allan F. da Silva, Lucas A. Thomaz, Sergio L. Netto & Eduardo A. B. da Silva

  2. Instituto de Telecomunicações (IT), Leiria, Portugal

    Lucas A. Thomaz

  3. Programa de Engenharia Química (PEQ), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil

    Juliana O. Pereira & Argimiro R. Secchi

  4. Escola de Química (EQ), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil

    André Castro

  5. Departamento de Engenharia Química (DEQUI), Escola de Engenharia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil

    Thais M. Farias

  6. Departamento de Engenharia Eletrônica e de Computação (DEL), Escola Politécnica, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil

    Sergio L. Netto & Eduardo A. B. da Silva

Authors
  1. Allan F. da Silva
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  2. Lucas A. Thomaz
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  3. Juliana O. Pereira
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  4. André Castro
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  5. Thais M. Farias
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  6. Sergio L. Netto
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  7. Eduardo A. B. da Silva
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  8. Argimiro R. Secchi
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Correspondence to Juliana O. Pereira.

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Silva, A.F.d., Thomaz, L.A., Pereira, J.O. et al. A morphological approach to the automatic detection of dark fringes of birefringence images obtained in a multipass rheometer. Rheol Acta 59, 177–200 (2020). https://doi.org/10.1007/s00397-019-01181-9

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  • DOI: https://doi.org/10.1007/s00397-019-01181-9

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