20 September 2001 Image processing and pattern recognition in textiles
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Proceedings Volume 4552, Image Matching and Analysis; (2001) https://doi.org/10.1117/12.441547
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lingxue Kong, Lingxue Kong, F. H. She, F. H. She, } "Image processing and pattern recognition in textiles", Proc. SPIE 4552, Image Matching and Analysis, (20 September 2001); doi: 10.1117/12.441547; https://doi.org/10.1117/12.441547
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