A Recognition Method for Wool and Cashmere Fiber Based on the Feature of the Spectral Line

Author

Jiang Gaoping ; Zhong Yueqi ; Wang Rongwu

Author_Institution

Donghua Univ., Shanghai, China

fYear

2009

fDate

26-28 Dec. 2009

Firstpage

4679

Lastpage

4682

Abstract

This paper provides a recognition method for wool and cashmere fiber based on the feature of the spectral line. In this study, the morphology of the wool and cashmere fibers are determined by optical microscope. Then from the images, a great number of fiber surface information are obtained. And through a local projection method and segmented into unit, the spectral line of the wool/cashmere fiber are extracted. The features of each spectral line, such as unit width, unit peak value and coefficient of dispersion, are extracted according to the characteristics of the surface morphology. Hence, the difference helped to identify wool from cashmere based on the analysis of the features of such spectral lines.

Keywords

feature extraction; image recognition; image segmentation; optical microscopes; wool; fiber surface information; local projection method; optical microscope; recognition method; spectral line; surface morphology; unit peak value; wool-cashmere fibers; Axles; Data mining; Feature extraction; Image analysis; Image processing; Image segmentation; Optical microscopy; Scanning electron microscopy; Surface morphology; Wool;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Engineering (ICISE), 2009 1st International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-4909-5

Type

conf

DOI

10.1109/ICISE.2009.144

Filename

5454630