By Topic

Defect detection in web inspection using fuzzy fusion of texture features

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Hajimowlana, S.H. ; VLSI Res. Group, Windsor Univ., Ont., Canada ; Muscedere, R. ; Jullien, G.A. ; Roberts, J.W.

This paper describes a novel approach for real-time defect detection targeted to web inspection systems using real-time processing of raster scanned images. Our new method utilizes a fuzzy fusion of texture features to detect image rows that contain defects, without requiring access to the two dimensional frame data. The method is suitable for in-camera processing where an FPGA is directly connected to the digitized video stream. This method is successfully implemented in the limited resources of one FPGA without the use of a frame-grabber

Published in:

Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on  (Volume:3 )

Date of Conference: