kong-featureextraction-2002.pdf (357.08 kB)
Feature extraction for animal fiber identification
conference contribution
posted on 2002-01-01, 00:00 authored by Lingxue KongLingxue Kong, Fenghua She, Saeid Nahavandi, Abbas KouzaniAbbas KouzaniFiber identification has been a very important task in many industries such as wool growing, textile processing, archaeology, histochernical engineering, and zoology. Over the years, animal fibers have been identified using physical and chemical approaches. Recently, objective identification of animal fibers has been developed based on the cuticular information of fibers. Effective and accurate extraction of representative features is essential to animal fiber identification and classification. In the current work, two different strategies are developed for this purpose. In the first method, explicit features are extracted using image processing. However, only implicit features are used in the second method with an unsupervised artificial neural network. It is found that the use of explicit features increases the accuracy of fiber identification but requires more effort on processing images and solid knowledge of what features are representative ones.
History
Event
International Conference on Image and Graphics (2nd : 2002 : Hefei, China)Pagination
699 - 704Publisher
SPIE, International Society for Optical EngineeringLocation
Hefei, ChinaPlace of publication
Bellingham, Wash.Start date
2002-08-16End date
2002-08-18ISBN-10
0819446564Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2002, SPIE, International Society for Optical EngineeringEditor/Contributor(s)
W SuiTitle of proceedings
SPIE 2002 : Proceedings of the 2nd International Conference on Image and GraphicsUsage metrics
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