Surface inspection of web materials using the self-organizing map

Jukka Iivarinen; Juhani Rauhamaa

doi:10.1117/12.325752

6 October 1998 Surface inspection of web materials using the self-organizing map

Jukka Iivarinen, Juhani Rauhamaa

Proceedings Volume 3522, Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision; (1998) https://doi.org/10.1117/12.325752
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

Abstract

A surface inspection problem is divided into three parts, into an image acquisition part, into a defect detection part that is suitable for hardware implementation, and into a defect classification part that is done in a user's terminal. In the defect detection part extraction of texture features is done and potential defect areas are marked. The proposed scheme is taught only with examples of fault-free surface. In the defect classification part features describing the shape and internal structure of defects are extracted and defects are classified into different defect classes. Examples of defects are used to train the classification system. Use of the self-organizing map in defect detection and in defect classification makes the proposed method adaptable to different types of surfaces and to different types of defects. Only reselection of features may be necessary to cope with different surface and defect characteristics. The results of experiments with base paper samples are encouraging.

Citation Download Citation

Jukka Iivarinen and Juhani Rauhamaa "Surface inspection of web materials using the self-organizing map", Proc. SPIE 3522, Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision, (6 October 1998); https://doi.org/10.1117/12.325752

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