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YILDIZ, ZEHRA

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2018 - 20202
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Author: YILDIZ, KAZIM × Has files: true ×

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Now showing 1 - 2 of 2
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    PublicationOpen Access
    Application of image processing for quantization and characterization of fabrics with polymeric coatings
    (PAMUKKALE UNIV, 2018) YILDIZ, KAZIM; Yildiz, Kazim; Yildiz, Zehra
    In this study, the dispersion quality of particles on polymeric coating formulations from cotton fabric surfaces was investigated by using gray level co-occurrence matrix and fractal dimension. Coating formulations with various nano particle inclusions were applied on cotton fabrics. The flame retardant property of coated fabrics were examined by thermal gravimetric analysis (TGA). Images from the coated fabric surfaces were obtained by using optical microscopy and then these images were used in gray level and fractal dimension feature extraction processes. The microscopic images of the coated fabrics in various particle amounts were analyzed by using the image processing technique, and then classification and quantization processes were performed. The results of the image processing were compared to the results of TGA. The sample containing 5% montmorillonite (MMT) was found as having the best coating quality level by using feature extraction method in image processing. The average classification performance among all the samples was found as 92.5%.
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    PublicationOpen Access
    Evaluation of nano-filler dispersion quality in polymeric films with binary feature characteristics and fractal analysis
    (INST ENGINEERING TECHNOLOGY-IET, 2020-08) YILDIZ, KAZIM; Yildiz, Kazim; Yildiz, Zehra
    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.