A method for detection of foreign body in cotton based on RGB space model

Author

Xie, Tingting ; Gu, Yalin ; Sha, Tao ; He, Yapeng

Author_Institution

Electron. Eng. & Optoelectron. Technol., Nanjing Univ. of Sci. & Technol., Nanjing, China

fYear

2011

fDate

8-10 Aug. 2011

Firstpage

31

Lastpage

33

Abstract

In order to detect foreign body from the complex channel background and cotton layers, a detection method based on RGB space model is presented in this paper. The feature of the standard cotton and the channel background was extract to create a space model of cotton. And then this model was used to process the 24-bit true color images which were captured from a foreign body picking equipment. Simulation results show that this method can overcome the interference caused by the complex channel background and diversity of the foreign fiber in the actual working environment and can detect foreign body effectively.

Keywords

cotton fabrics; image colour analysis; object detection; production engineering computing; textile industry; RGB space model; complex channel background; cotton layers; foreign body detection; true color images; Cotton; Detection algorithms; Feature extraction; Image color analysis; Optical fiber communication; Optical fiber devices; Simulation; RGB space model; channel background; foreign fiber detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on

Conference_Location

Deng Leng

Print_ISBN

978-1-4577-0535-9

Type

conf

DOI

10.1109/AIMSEC.2011.6010385

Filename

6010385