Texture description based on multiresolution moments of image histograms

Yue Jiang; Runsheng Wang; Peng Zhang

doi:10.1117/1.2894149

1 March 2008 Texture description based on multiresolution moments of image histograms

Yue Jiang, Runsheng Wang, Peng Zhang

Author Affiliations +

Optical Engineering, Vol. 47, Issue 3, 037005 (March 2008). https://doi.org/10.1117/1.2894149

Abstract

This paper presents a novel multiresolution approach for texture classification based on the moment features, which are extracted in the x direction and y direction, of a histogram in each image resolution. Then we propose a weighted multiresolution moment feature for supervised texture classification. Moreover, because of their capability of expressing image information using moment methods, these features achieved better performance on rotation invariance and noise robustness than most of popular texture features presented in recent years.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Yue Jiang, Runsheng Wang, and Peng Zhang "Texture description based on multiresolution moments of image histograms," Optical Engineering 47(3), 037005 (1 March 2008). https://doi.org/10.1117/1.2894149

Published: 1 March 2008

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