This study investigates the use of binary features and fractal dimension analysis to evaluate the dispersion quality of nanofillers in thin polymeric films by using light microscopy images. For this purpose, polymeric films were cast with the inclusion of various montmorillonite (MMT) nanofiller amounts. Then the light microscopy images were captured from the polymeric films then preprocessed for the evaluation. Thresholding process was applied to the obtained images for each nanofiller percentage level. The obtained binary level images were used in the feature extraction process with binary statistics and fractal dimension. Thermogravimetric analysis (TGA) was used to evaluate the flame resist behaviour of polymeric films based on the dispersion quality of nanofillers. The samples with various nanofiller contents were tested using the image processing method and the results were all compared with the TGA results. The results obtained by the feature extraction process and TGA, about the dispersion quality of nanofillers, were all in good agreement.

中文翻译：

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用二元特征和分形分析评估聚合物膜中纳米填料的分散质量

这项研究调查了使用二元特征和分形维数分析通过光学显微镜图像评估纳米填料在聚合物薄膜中的分散质量。为此，浇铸包含各种蒙脱土（MMT）纳米填料的聚合物薄膜。然后从聚合物膜上捕获光学显微镜图像，然后进行预处理以进行评估。对于每个纳米填料百分比水平，将阈值处理应用于获得的图像。将获得的二进制图像用于具有二进制统计量和分形维数的特征提取过程中。基于纳米填料的分散质量，使用热重分析（TGA）来评估聚合物膜的阻燃性能。使用图像处理方法测试了具有各种纳米填料含量的样品，并将结果均与TGA结果进行了比较。通过特征提取工艺和TGA获得的关于纳米填料分散质量的结果都非常吻合。