Segmentation of non-natural objects in landscape images using ridgelet transform

Langis Gagnon; Samuel Foucher

doi:10.1117/1.3134137

1 April 2009 Segmentation of non-natural objects in landscape images using ridgelet transform

Langis Gagnon, Samuel Foucher

Author Affiliations +

Journal of Electronic Imaging, Vol. 18, Issue 2, 023010 (April 2009). https://doi.org/10.1117/1.3134137

Abstract

This study reports about the detection of non-natural structures in outdoor natural scenes. In particular, we present a new approach based on ridgelet transform for the segmentation of man-made objects in landscape scenes. Multiscale directional moments of ridgelet coefficients are used as features along with a principal component analysis (PCA) followed by a linear discriminant analysis (LDA), kernel-based LDA (KLDA), or support vector classifier (SVC). The statistical learning is done on about 3,000 image patches that represent natural and artificial content. Performances are measured in terms of image patch type classification (natural versus non-natural) and man-made object segmentation on two different image test sets. Results using ridgelets are compared to Gabor features. Altogether, we compare performance for six different feature/classifier combinations: ridgelets+LDA, ridgelet+KLDA, ridgelets+SVC, Gabor+LDA, Gabor+KLDA, and Gabor+SVC, and various external parameter values. Results show that most of the time, the combinations with ridgelets provide comparable or better performance.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Langis Gagnon and Samuel Foucher "Segmentation of non-natural objects in landscape images using ridgelet transform," Journal of Electronic Imaging 18(2), 023010 (1 April 2009). https://doi.org/10.1117/1.3134137

Published: 1 April 2009

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