Fabric defect detection systems and methods-A systematic literature review
Küçük Resim Yok
Tarih
2016
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Gmbh
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper presents a comprehensive literature review of fabric defect detection methods First, it briefly explains basic image acquisition system components such as camera and lens. Defect detection methods are categorized into seven classes as structural, statistical, spectral, model-based, learning, hybrid and comparison studies. These methods are evaluated according to such criteria as the accuracy, the computational cost, reliability, rotating/scaling invariant, online/offline ability to operate and noise sensitivity. Strengths and weaknesses of each approach are comparatively highlighted. In addition, the availability of utilizing methods for weaving and knitting in machines is investigated. The available review studies do not provide sufficient information about fabric defect detection systems for readers engaged in research in the area of textile and computer vision. A set of examination for efficient establishment of image acquisition system are added. In particular, lens and light source selection are mathematically expressed. (C) 2016 Elsevier GmbH. All rights reserved.
Açıklama
Anahtar Kelimeler
Fabric defect detection, Texture analysis, Image processing, Textile inspection, Image acquisition systems
Kaynak
Optik
WoS Q Değeri
Q4
Scopus Q Değeri
Q2
Cilt
127
Sayı
24
