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Proceedings Paper

Image processing and pattern recognition in textiles
Author(s): Lingxue Kong; F. H. She
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Paper Abstract

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 for fiber 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 yields satisfactory results by giving a high level of accuracy in classification.

Paper Details

Date Published: 20 September 2001
PDF: 6 pages
Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); doi: 10.1117/12.441547
Show Author Affiliations
Lingxue Kong, Deakin Univ. (Australia)
F. H. She, Deakin Univ. (Australia)


Published in SPIE Proceedings Vol. 4552:
Image Matching and Analysis

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