Application of image processing for quantization and characterization of fabrics with polymeric coatings

Yıl 2018, Cilt: 24 Sayı: 2, 255 - 259, 30.04.2018

Kazım Yıldız , Zehra Yıldız

Öz

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%.

Anahtar Kelimeler

Image processing, Fractal analysis, Cotton fabric, Polimeric cover, Nano particle

Polimerik kaplamalı kumaşlarda görüntü işleme ile niceleme ve karakterizasyon uygulaması

Öz

Bu
çalışmada gri seviye eş oluşum matrisi ile fraktal boyut kullanılarak pamuk
kumaş üzerine uygulanan polimerik kaplama içerisindeki taneciklerin dağılımı
incelenmiştir. Kumaş yüzeyine farklı miktarlarda
nano boyutta tanecik içeren kaplama formülasyonları
uygulanmış daha sonra kumaşın termal gravimetrik yöntem (thermo gravimetric analysis-TGA)
ile yanmazlık özellikleri incelenmiştir. Kaplanan kumaş yüzeyleri üzerinden
optik mikroskop ile görüntüler elde edilmiş ve bu görüntüler gri seviye ve
fraktal boyut özellik çıkarımında kullanılmıştır.  Farklı miktarlarda nano tanecik içeren kaplı
kumaşların mikroskop görüntüleri, görüntü işleme tekniği ile analiz edilerek
nicelendirme ve sınıflandırma işlemleri yapılmıştır. Görüntü işleme ile elde
edilen sonuçlar TGA ile bulunan deneysel bulgularla mukayese edilmiştir.
Görüntü işleme tekniği ile özellik çıkarılarak en iyi kaplama kalitesine sahip
numunenin, %5 montmorillonit (MMT) içeren örnek olduğu tespit edilmiştir.
Numuneler arasındaki ortalama sınıflandırma başarısı %92,5 olarak elde
edilmiştir.

Anahtar Kelimeler

Görüntü işleme, Fraktal analiz, Pamuk kumaş, Polimerik kaplama, Nano tanecik

Kaynakça

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