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Identification and classification of animal fibres using artificial neural networks
journal contribution
posted on 2001-01-01, 00:00 authored by Fenghua SheFenghua She, S Chow, B Wang, Lingxue KongLingxue KongIt has been an important and challenging task to classify and evaluate the contents in wool blends. Quantitative characterisation of animal fibre scale patterns has attracted considerable attention, since it is the major evidence for identification and subsequent classification purpose. Although techniques such as imaging processing and linear demarcation functions have been used to identify unknown fibre type with some success, a more comprehensive approach is required to perform this task. In this paper, a new approach is presented, which employs non-linear demarcation functions by using an artificial neural network (ANN). Based on scale pattern features extracted by using image processing techniques the artificial neural network (ANN) model is to classify mohair and merino fibres. It is observed that the techniques developed in this work are very effective and have the potential to be applied to other animal fibres.
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Journal
Journal of textile engineeringVolume
47Issue
2Pagination
35 - 38Publisher
Nihon Sen'i Kikai GakkaiLocation
Osaka-shi, JapanISSN
1346-8235Language
engPublication classification
C1.1 Refereed article in a scholarly journalCopyright notice
2001, Nihon Sen'i Kikai GakkaiUsage metrics
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