Online Defects Inspection Method for Velcro Based on Image Processing

Author

Sun Guo-dong ; Zhao Da-Xing ; Lin Qing

Author_Institution

Sch. of Mech. Eng., Hubei Univ. of Technol., Wuhan, China

fYear

2010

fDate

22-23 May 2010

Firstpage

1

Lastpage

4

Abstract

Quality control is a crucial issue in producing velcro, and defects existing in velcro can dramatically downgrade velcro level. Manual inspection can not meet the requirements of production efficiency, so an online feasible inspection method is referred to control the surface quality of the velcro. The original algorithm for the edge detection has been improved, and the flaws are extracted according to the first-order characteristic value. And these defects are classified according to the spectrum. Finally, the experiments have indicated that the various defects can be detected by proposed algorithm accurately, and the defects inspection method has been efficient and of great significance.

Keywords

crack detection; edge detection; fabrics; fasteners; image classification; inspection; mechanical engineering computing; production engineering computing; quality control; edge detection; image processing; online defect inspection method; quality control; velcro; Fabrics; Image edge detection; Image processing; Inspection; Mechanical engineering; Piecewise linear techniques; Pixel; Production; Shape control; Sun;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5872-1

Electronic_ISBN

978-1-4244-5874-5

Type

conf

DOI

10.1109/IWISA.2010.5473681

Filename

5473681