Automatic area based registration method and its application to the surface inspection of steel industry products

Ricardo García Llenderrozos; Ignacio Álvarez García; José M. Enguita González; Silvia Rodríguez Jiménez

doi:10.1117/12.2020543

24 May 2013 Automatic area based registration method and its application to the surface inspection of steel industry products

Ricardo García Llenderrozos, Ignacio Álvarez García, José M. Enguita González, Silvia Rodríguez Jiménez

Author Affiliations +

Proceedings Volume 8791, Videometrics, Range Imaging, and Applications XII; and Automated Visual Inspection; 87911I (2013) https://doi.org/10.1117/12.2020543
Event: SPIE Optical Metrology 2013, 2013, Munich, Germany

Abstract

We describe the automated application of an area based registration method to the surface inspection of steel industry products as a tool to solve an intermediate mosaicing problem. The main problem of area based methods is that there is high probability that the results of a matching process will be incorrect if a region of interest without any relevant detail is used. The selection of a region of interest with relevant content continues to be a problem nowadays. We propose a method to select a salient area when using a zero mean normalised cross correlation metric and a block as a region of interest. The selection of the size and the position of the block is focused on ensuring a smooth unimodal similarity surface around the maximum similitude point. Experiments show a correlation between the surface kurtosis of the block autocovariance and the same coefficient measured over the correlation surface around the maximum similitude point for the three different steel products analysed. We check that the maximum correlation value is reached abruptly, in a small range of pixels around the maximum similitude point, in correlation surfaces obtained from blocks containing non-relevant information. On the other hand, salient blocks usually lead to unimodal smooth similarity surfaces with small sensitivity to noise in contrast with the ones obtained from non-remarkable blocks. Also, the method proposed allows the application of fast search algorithms based on the unimodality of the correlation surface, obtaining high computational time reduction in comparison with full search strategies using fast normalised cross correlation algorithms.

Citation Download Citation

Ricardo García Llenderrozos, Ignacio Álvarez García, José M. Enguita González, and Silvia Rodríguez Jiménez "Automatic area based registration method and its application to the surface inspection of steel industry products", Proc. SPIE 8791, Videometrics, Range Imaging, and Applications XII; and Automated Visual Inspection, 87911I (24 May 2013); https://doi.org/10.1117/12.2020543

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
15 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Video

Inspection

Image processing

Image registration

Cameras

Statistical analysis

Defect detection

Show All Keywords

Keywords/Phrases

Search In:

Publication Years