Title :
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
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;
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
DOI :
10.1109/IWISA.2010.5473681
