NDLI: Animal Fiber Classification Based on Fuzzy Neural Network

Content Provider	IEEE Xplore Digital Library
Author	Xian-Jun Shi Zi-Hou Yuan Gui Liu Wei-Dong Yu
Copyright Year	2008
Description	Author affiliation: Coll. of Sci., Wuhan Univ. of Sci. & Eng., Wuhan (Xian-Jun Shi; Zi-Hou Yuan) \|\| Textile Mater. & Technol. Lab., Donghua Univ., Shanghai (Gui Liu; Wei-Dong Yu)
Abstract	Scale pattern of cashmere and fine wool is different and that is a major reference distinguishing them from each other. A technique commonly used consists of analyzing their SEM image for detecting cuticle scale edge height (CSH) of fiber. However, the method is expensive and only a small quantity of fiber samples is detected, which make the average error approach 8 percent. In this paper, a new method is presented. The color light microscope images of fiber captured by CCD camera are transformed into skelrtonzied binary images only having one pixel wide and showing only fiber and scale edge details. Then four basic shape parameters of fiber scale are measured and a database composed of numerical data of four comparable indexes, which are fiber diameter, scale interval, normalized scale perimeter and normalized scale area, is established. A FNN classifier is developed based on them. The simulation results show that whether on training set or testing set, the model can always distinguish cashmere from fine wool (70s) effectively and the average classification accuracy are higher than 90 percent.
Starting Page	195
Ending Page	199
File Size	344830
Page Count	5
File Format	PDF
ISBN	9780769533056
DOI	10.1109/FSKD.2008.460
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Charge coupled devices Scanning electron microscopy Image edge detection Shape measurement threshold scale pattern Optical fiber testing Image analysis Animals Fuzzy neural networks FNN classifier Wool morphological operations Charge-coupled image sensors
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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