DocumentCode
1816444
Title
Studies on the yarn mass parameters determination using Image Processing techniques
Author
Goncalves, Nuno ; Carvalho, V. ; Soares, Filomena ; Vasconcelos, Rosa
Author_Institution
R&D Centre Algoritmi, Univ. of Minho, Guimaraes, Portugal
fYear
2012
fDate
17-21 Sept. 2012
Firstpage
1
Lastpage
4
Abstract
This paper presents a study on the development of a methodology to automatically determine yarn mass parameters using Image Processing (IP) techniques. The sample images were analyzed and processed through a custom made application developed in LabVIEW from National Instruments using IMAQ Vision Toolkit. The results show that a reliable diameter, mass and yarn faults determination can be obtained using IP techniques. Step-by-step algorithms used to determine yarn mass parameters are described. The presented approach allows improving products quality as well as the possibility of increasing the efficiency of the textile industry.
Keywords
fault diagnosis; image processing; parameter estimation; product quality; production engineering computing; reliability; textile industry; virtual instrumentation; yarn; IMAQ vision toolkit; IP techniques; LabVIEW; National Instruments; automatic yarn mass parameter determination; image processing techniques; product quality; reliable diameter; step-by-step algorithms; textile industry; yarn fault determination; IMAQ Vision; Image Processing; Yarn mass paremeters;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Technologies & Factory Automation (ETFA), 2012 IEEE 17th Conference on
Conference_Location
Krakow
ISSN
1946-0740
Print_ISBN
978-1-4673-4735-8
Electronic_ISBN
1946-0740
Type
conf
DOI
10.1109/ETFA.2012.6489765
Filename
6489765
Link To Document