Image processing and pattern recognition have been successfully applied in many textile related areas. For example, they have been used in defect detection of cotton fibers and various fabrics. In this work, the application of image processing into animal fiber classification is discussed. Integrated into / with artificial neural networks, the image processing technique has provided a useful tool to solve complex problems in textile technology. Three different approaches are used in this work forfiber classification and pattern recognition: feature extraction with image process, pattern recognition and classification with artificial neural networks, and feature recognition and classification with artificial neural network. All of them yieldssatisfactory results by giving a high level of accuracy in classification.
History
Pagination
1 - 6
Location
Wuhan, China
Start date
2001-10-22
End date
2001-10-24
ISBN-13
9780819442840
ISBN-10
0819442844
Language
eng
Publication classification
E2 Full written paper - non-refereed / Abstract reviewed
Copyright notice
2001, SPIE
Editor/Contributor(s)
D Li
Title of proceedings
SPIE 2001 : Data mining and applications : 23-24 October 2001, Wuhan, China