A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is
Machine Vision Applications in Industrial Inspection XII
In this paper a system for web surface inspection is described. It has three parts: an image acquisition part, a defect detection part, and a defect classification part. The self-organizing maps (SOMs) are used both in defect detection and in defect classification which makes the system adaptable to different types of surfaces and defects. Our main focus is on defect classification where a generic content-based image retrieval (CBIR) system called PicSOM is utilized. The PicSOM usesdoi:10.1117/12.526617 fatcat:w6fit272w5cn3dodbvudoisqju