[섬유] Intelligent Animal Fiber Classification with Artificial Neural Networks 출판일 : 2002.07.01 저자 : F.H. She, L.X. Kong, S. Nahavandi, and A.Z. Kouzani 서지사항 : Textile Research Journal, Volume 72, Issue 7, 594페이지 등록일 : 2012.10.30 I 조회수 : 78 작성자 : admin |
Artificial neural networks (ANN) are increasingly used to solve many problems related to
pattern recognition and object classification. In this paper, we report on a study using
artificial neural networks to classify two kinds of animal fibers: merino and mohair. We have
developed two different models, one extracting nine scale parameters with image
processing, and the other using an unsupervised artificial neural network to extract features
automatically, which are determined in accordance with the complexity of the scale
structure and the accuracy of the model. Although the first model can achieve higher
accuracy, it requires more effort for image processing and more prior knowledge, since the
accuracy of the ANN largely depends on the parameters selected. The second model is
more robust than the first, since only raw images are used. Because only ordinary optical
images taken with a microscope are employed, we can use the approach for many textile
applications without expensive equipment such as scanning electron microscopy.
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