Vortex Optimization Algorithm Based Fabric Defect Detection
Küçük Resim Yok
Tarih
2018
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In textile industry, defects that occur in fabrics during production processes cause the producers to suffer large losses of money. Various studies have been carried out to minimize these losses. There are two types of defect detection methods, that are human-focused and machine-focused defect defect detection. In human-focused systems, defect detection is performed after the production phase. This does not provide an advantage for the manufacturer. Defect detection with machine-focused systems have better results. In this study widely used machine-oriented fabric defect detection approaches have been analyzed and a method is proposed based on using Fourier transform with bandpass filter. The Vortex Optimization Algorithm (GOA) is used to obtain the most suitable parameters of the bandpass filter better.
Açıklama
International Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEY
Anahtar Kelimeler
Fabric Defect Detection, Bandpass Filter, Vortex Optimization Algorithm
Kaynak
2018 International Conference on Artificial Intelligence and Data Processing (Idap)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
