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A morphological approach to the automatic detection of dark fringes of birefringence images obtained in a multipass rheometer
Rheologica Acta ( IF 2.3 ) Pub Date : 2020-02-26 , DOI: 10.1007/s00397-019-01181-9
Allan F. da Silva , Lucas A. Thomaz , Juliana O. Pereira , André Castro , Thais M. Farias , Sergio L. Netto , Eduardo A. B. da Silva , Argimiro R. Secchi

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.

中文翻译:

在多通道流变仪中自动检测双折射图像暗条纹的形态学方法

这项工作提出了一种新方法,可以自动检测聚合物流过狭缝模具期间获得的双折射图像中暗条纹的位置。这些位置的确定对于流变学很重要,因为它允许获得沿流动中心线的主应力差 (PSD) 分布。开发的方法使用数学形态学技术来找到表征双折射条纹的图案并检测它们的中心位置。将所提出的方法与其他边缘中心检测方法进行了比较,揭示了我们方法的优越精度,并将结果与​​之前工作中使用 GIMP 软件获得的半自动测量结果进行了比较。此外,
更新日期:2020-02-26
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