Automated system for classification of defects in web materials

Dragana P. Brzakovic; Hal E. Beck; P. Shanmugam

doi:10.1117/12.144803

6 May 1993 Automated system for classification of defects in web materials

Dragana P. Brzakovic, Hal E. Beck, P. Shanmugam

Proceedings Volume 1907, Machine Vision Applications in Industrial Inspection; (1993) https://doi.org/10.1117/12.144803
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

This paper describes the development environment for the design, implementation, and testing of an expert system for web inspection that uses adaptive digital image processing and pattern recognition to classify defects in web materials. The environment consists of four sub-systems: detection, characterization, feature analysis, and classification. Each sub-system consists of a number of modules targeted at performing specific functions. The paper discusses an example of defect classification and describes the roles of characterization, feature analysis, and classification sub-systems, including specific algorithms.

Citation Download Citation

Dragana P. Brzakovic, Hal E. Beck, and P. Shanmugam "Automated system for classification of defects in web materials", Proc. SPIE 1907, Machine Vision Applications in Industrial Inspection, (6 May 1993); https://doi.org/10.1117/12.144803

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available