Comparison of Edge Detection Algorithms for Texture Analysis on Glass Production
Küçük Resim Yok
Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
ELSEVIER SCIENCE BV
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The use of technological innovations in production will increase the number of product and quality. With proposed method in this paper, it is aimed to improve the production process of glass which used almost every field. In this study, some of the popular edge detection algorithms (Roberts, Prewitt, Sobel, LoG and Canny) are used for the texture analysis process. It is aimed to determine glass surface defect with the applied of mentioned edge detection operators to same image. The results obtained from application are compared with the reference image and texture analysis performance of edge detection algorithms are evaluated. In this study the used material is glass and it is aimed to determine the glass surface defect such as scratch, crack and bubble with the use of edge detection operators. Glass is a difficult material to examine with cameras because glass has reflection and the transparency features. So, some improvement are applied in the image before edge detection algorithms are applied. Performed controlled experiments showed that LoG edge detection algorithm is better than other edge detection algorithms in determining texture analysis. (C) 2015 The Authors. Published by Elsevier Ltd.
Açıklama
World Conference on Technology, Innovation and Entrepreneurship -- MAY 28-30, 2015 -- Istanbul, TURKEY
Anahtar Kelimeler
edge detection algorithms, image processing, texture analysis, defect detection, glass production
Kaynak
WORLD CONFERENCE ON TECHNOLOGY, INNOVATION AND ENTREPRENEURSHIP
WoS Q Değeri
N/A
