The Detection System of Rotary Screen Printing Based on Machine Vision Technology

Peng Fei Li; Jun Feng Jing; Bo Wang

doi:10.4028/www.scientific.net/AMM.29-32.901

Paper Titles

Oriented Graph Signal Decomposition Model Based on TSF and its Application
p.877

A Convenient Designing Method of Feed Network at Low Frequency - The Substructure Method
p.884

The Segmentation of Textile Printing Image Based on the Algorithm of JSEG
p.890

The Registration Detection System of Rotary Screen Printing Machine Based on the Machine Vision Technology
p.896

The Detection System of Rotary Screen Printing Based on Machine Vision Technology
p.901

Evolutionary Optimization Design of the Structural Dynamic Characteristics under Multi Constraints
p.906

Multi-Objective Optimization for Parameters of Energy Management Strategy of HEV Based on Improved NSGA-II
p.912

Development of Hybrid Electric Vehicle Control System Based on V-Cycle
p.918

An Improved Artificial Immune Network Algorithm to Solve Multi-Project Scheduling Problem in Product Development
p.923

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 29-32The Detection System of Rotary Screen Printing...

The Detection System of Rotary Screen Printing Based on Machine Vision Technology

Abstract:

With the error detection problems in rotary screen printing, in this paper the machine vision technology is proposed to detect the design register error in the dyeing process, and the characteristics of the printing and dyeing contexture image are introduced, too. Combined with the features of " broken pattern " image, with the edge of the fabric image as characteristic curve, and through Fourier-mellin transform, the fabric image error detection is implemented; Finally, in the paper, the " broken pattern " error results show the feasibility of the scheme ,at the same time provide a theoretical basis for the further actual application.

You might also be interested in these eBooks

Applied Mechanics And Mechanical Engineering

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 29-32)

Pages:

901-905

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.29-32.901

Citation:

Cite this paper

Online since:

August 2010

Authors:

Peng Fei Li, Jun Feng Jing, Bo Wang

Keywords:

Broken Pattern, Fourier-Mellin, Machine Vision, Rotary Screen Printing Machine

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] TangJuntang, YaoSenglin: Rotary Screen Printing Structure and Performance [J]. Textile Machinery. (1): 44-47, (2006).

Google Scholar

[2] YeQixiang, GaoWen, WangWeiqing etc. The Color Jmage Segmentation Algorithm Fused of Color and Space [J]. Software Journal. 15(4), (2004).

Google Scholar

[3] ZhaoQinpei, YaoLixiu, ChengJian etc. The Color Image Segmentation New Algorithm Based on Color Information and Regional Growth [J]. Shanghai JiaoTong University Journal. 41(5): 802-806, (2007).

Google Scholar

[4] T.B. Sebastian, P.N. Klein, and B.B. Kimia, On Aligning Curves, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 25, No, 1, pp: 116-125, (2003).

DOI: 10.1109/tpami.2003.1159951

Google Scholar

[5] ZhaoXunpo. The Research on Robust Image Curve Matching Method [D]. Automation Research Institute of The Chinese Science College.

Google Scholar

[6] Deng Y, Manjunath B.S., Shin Hyumdoo. Color image segmentation [A] Processing of IEEE Computer Society Conference on Computer Vision and Pattern Recognition CVPR (1999)., 99[C]. 451-466.

DOI: 10.1109/cvpr.1999.784719

Google Scholar