Sliding windows: A software method suitable for real-time inspection of textile surfaces

Anagnostopoulos, C; Anagnostopoulos, I; Vergados, D; Kayafas, E; Loumus, V

dc.contributor.author	Anagnostopoulos, C	en
dc.contributor.author	Anagnostopoulos, I	en
dc.contributor.author	Vergados, D	en
dc.contributor.author	Kayafas, E	en
dc.contributor.author	Loumus, V	en
dc.date.accessioned	2014-03-01T01:21:25Z
dc.date.available	2014-03-01T01:21:25Z
dc.date.issued	2004	en
dc.identifier.issn	0040-5175	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16232
dc.subject	Sliding Window	en
dc.subject	Real Time	en
dc.subject.classification	Materials Science, Textiles	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer software	en
dc.subject.other	Real time systems	en
dc.subject.other	Texturing	en
dc.subject.other	Defect identification	en
dc.subject.other	Real time inspection	en
dc.subject.other	Fabrics	en
dc.subject.other	Algorithms	en
dc.subject.other	Computer Programs	en
dc.subject.other	Texture	en
dc.subject.other	Woven Fabric	en
dc.subject.other	computer program	en
dc.subject.other	defect	en
dc.subject.other	detector	en
dc.subject.other	inspection machine	en
dc.subject.other	software	en
dc.title	Sliding windows: A software method suitable for real-time inspection of textile surfaces	en
heal.type	journalArticle	en
heal.identifier.primary	10.1177/004051750407400716	en
heal.identifier.secondary	http://dx.doi.org/10.1177/004051750407400716	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	There is a strong interest in expert systems to assist in complex defect identification procedures. To increase accuracy, attempts are made to enhance traditional human inspection by automated visual systems, which employ cameras and image processing routines. It is important that the software core of such a system is based on a robust, fast texture segmentation technique. Many texture segmentation techniques have been presented in the literature. Unfortunately, despite the fact that they achieve good results, they are computationally complex and therefore not suitable for real-time applications, since as the complexity of an algorithm grows, it becomes more and more difficult to execute the image examination in real time. This paper presents a detailed description of a fast algorithm for defect detection in textile surfaces and an evaluation of the experimental results for 137 digitized images of representative defects in woven fabrics collected from a larger sample provided by textile companies.	en
heal.publisher	TEXTILE RESEARCH INST	en
heal.journalName	Textile Research Journal	en
dc.identifier.doi	10.1177/004051750407400716	en
dc.identifier.isi	ISI:000222959400016	en
dc.identifier.volume	74	en
dc.identifier.issue	7	en
dc.identifier.spage	646	en
dc.identifier.epage	651	en