Multi-color space local binary pattern-based feature selection for texture classification

Alice Porebski; Vinh Truong Hoang; Nicolas Vandenbroucke; Denis Hamad

doi:10.1117/1.JEI.27.1.011010

27 February 2018 Multi-color space local binary pattern-based feature selection for texture classification

Alice Porebski, Vinh Truong Hoang, Nicolas Vandenbroucke, Denis Hamad

Author Affiliations +

Journal of Electronic Imaging, Vol. 27, Issue 1, 011010 (February 2018). https://doi.org/10.1117/1.JEI.27.1.011010

Abstract

This paper deals with multi-color space texture classification. Two approaches are proposed and compared: a multi-color space histogram selection (MCSHS) and a multi-color space bin selection. These approaches select local binary pattern (LBP) histograms or LBP bins that have been processed from images coded in multiple color spaces. On the one hand, the proposed LBP-based feature selection scheme overcomes the difficulty of choosing a relevant color space, and on the other hand, it takes advantage of the specific properties of several color spaces by combining them. Experiments show that the MCSHS approach is relevant for color texture classification issues that require good performances whether in accuracy or classification computation time.

Citation Download Citation

Alice Porebski, Vinh Truong Hoang, Nicolas Vandenbroucke, and Denis Hamad "Multi-color space local binary pattern-based feature selection for texture classification," Journal of Electronic Imaging 27(1), 011010 (27 February 2018). https://doi.org/10.1117/1.JEI.27.1.011010

Received: 20 December 2017; Accepted: 2 February 2018; Published: 27 February 2018

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