Automated classification of hand-woven and machine-woven carpets based on morphological features using machine learning algorithms
Yazarlar (7)
Melike Isik
Selçuk Üniversitesi, Türkiye
Selçuk Üniversitesi, Türkiye
Burcu Ozulku
Selçuk Üniversitesi, Türkiye
Selçuk Üniversitesi, Türkiye
Öğr. Gör. Ramazan Kursun Selçuk Üniversitesi, Türkiye
Doç. Dr. Yavuz Selim Taspinar Selçuk Üniversitesi, Türkiye
Dr. Öğr. Üyesi Ilkay Cinar Selçuk Üniversitesi, Türkiye
Dr. Öğr. Üyesi Elham Tahsın Yasın YASIN Selçuk Üniversitesi, Türkiye
Murat Koklu Selçuk Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Journal of the Textile Institute (Q2) | ||
| Dergi ISSN | 0040-5000 Dergi Bilgileri (2024) | ||
| Dergi Tarandığı Indeksler | Scopus | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2024 |
| Kabul Tarihi | 19-01-2024 | Yayınlanma Tarihi | 11-02-2024 |
| Cilt / Sayı / Sayfa | 115 / 12 / 2650–2659 | DOI | 10.1080/00405000.2024.2309694 |
| Makale Linki | https://doi.org/10.1080/00405000.2024.2309694 | ||
| UAK Araştırma Alanları |
Bilgi Güvenliği ve Kriptoloji
Görüntü İşleme
Yapay Zeka
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| Özet |
| As a cultural heritage, hand-woven carpets engender trust and admiration in individuals who recognize their authenticity. It is the expertise of experts who determine whether a carpet is hand-woven or machine-woven based on authenticity criteria. A total of 48 morphological features were extracted by three carpet experts from 359 handwoven and machine woven carpets. Machine-learning algorithms were used to classify the extracted features. With an accuracy of 96.66%, the ANN algorithm achieved the best classification performance. Afterward, 28 morphological features were selected with the highest gain ratios and reclassified. Based on the selected features, SVM (Support Vector Machine) achieved the best classification accuracy of 96.66%. A carpet expert performed classification using the morphological features extracted by machine learning algorithms to evaluate the classification results obtained through … |
| Anahtar Kelimeler |
| Hand-woven carpet | machine-woven carpet | carpet classification | machine learning algorithms | morphological features of carpets |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 3 |
| Scopus | 7 |
| Google Scholar | 16 |