Automatic quality control of seam puckers based on shadow detection
by Ioannis G. Mariolis, Evangelos S. Dermatas
International Journal of Computer Aided Engineering and Technology (IJCAET), Vol. 1, No. 2, 2009

Abstract: A novel method performing automatic seam quality control based on visual information is introduced. More specifically, oblique illumination is applied and greyscale images of seam specimens are acquired. The amount of shadowing present in each image is being estimated through dynamic thresholding and first order statistics and is used by a simple linear classifier to estimate the seam quality by means of ordinary least squares (OLS) regression. The proposed method has been evaluated in the case of 112 seam specimens classified by human experts into five discrete quality grades and a correct classification rate of 84.82% has been produced exceeding the experts' average performance. Moreover, in case one grade disagreement is acceptable, the classification results become error free.

Online publication date: Mon, 26-Jan-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Aided Engineering and Technology (IJCAET):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com