A Set of Geometric Features for Neural Network-Based Textile Defect Classification
نویسندگان
چکیده
منابع مشابه
Textile Defect Classification Using Neural Network
The global market for textile industry is highly competitive nowadays. Quality control in production process in textile industry has been a key factor for retaining existence in such competitive market. Automated textile inspection systems are very useful in this respect, because manual inspection is time consuming and not accurate enough. Hence, automated textile inspection systems have been d...
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All textile industries aim to produce competitive fabrics. The competition enhancement depends mainly on productivity and quality of the fabrics produced by each industry. In the textile sector, there have been an enlarge amount of losses due to faulty fabrics. In the Least Development Countries (LDC) like Bangladesh, whose 25% revenue earning is achieved from textile export, most defects arisi...
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ژورنال
عنوان ژورنال: ISRN Artificial Intelligence
سال: 2012
ISSN: 2090-7443
DOI: 10.5402/2012/643473