Computer Image Recognition in Detecting Wool and Cashmere Fibers

DOI

10.2991/icetms.2013.389How to use a DOI?

Keywords

wool; cashmere; image recognition; fiber diameter; scale height; scale thickness; probability multiplication

Abstract

According to the characteristics of Spatial Periodicity of fibers, wool and cashmere can be identified automatically by digital image processing technology. Fiber images were collected by Image acquisition devices and saved in computer. Then, fiber information like diameter, surface scale height and scale thickness was extracted by Image processing algorithms to analyze and detect the fibers. Results show false rate of detection decreases much when probability multiplication applied.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shaojun Huang
AU  - Yiping Ji
AU  - Yunhui Yang
PY  - 2013/06
DA  - 2013/06
TI  - Computer Image Recognition in Detecting Wool and Cashmere Fibers
BT  - Proceedings of the 2013 Conference on Education Technology and Management Science (ICETMS 2013)
PB  - Atlantis Press
SP  - 1452
EP  - 1455
SN  - 1951-6851
UR  - https://doi.org/10.2991/icetms.2013.389
DO  - 10.2991/icetms.2013.389
ID  - Huang2013/06
ER  -