Comparative study of strategies for illumination-invariant texture representations

Barbara V. Levienaise-Obadia; Josef Kittler; William J. Christmas

doi:10.1117/12.333886

17 December 1998 Comparative study of strategies for illumination-invariant texture representations

Barbara V. Levienaise-Obadia, Josef Kittler, William J. Christmas

Proceedings Volume 3656, Storage and Retrieval for Image and Video Databases VII; (1998) https://doi.org/10.1117/12.333886
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

Illumination invariance is of paramount importance to annotate video sequences, stored in large video databases. However, popular texture analysis methods, such as multichannel filtering techniques, do not yield illumination-invariant texture representations. In this paper, we assess the effectiveness of three illumination normalization schemes for texture representations, derived from Gabor filter outputs. The schemes aim at overcoming intensity scaling effects, due to changes in illuminating conditions. A theoretical analysis and experimental results, enable us to select one scheme as the most promising. In this scheme, a normalizing factor is derived at each pixel, by combining the energy response of different filters at that pixel. The scheme overcomes illumination variations well, while still preserving discriminatory textural information. Further statistical analysis may shed light on other interesting properties or limitations of the scheme.

Citation Download Citation

Barbara V. Levienaise-Obadia, Josef Kittler, and William J. Christmas "Comparative study of strategies for illumination-invariant texture representations", Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, (17 December 1998); https://doi.org/10.1117/12.333886

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