Clutter suppression algorithm based on bidirectional local binary pattern for moving point target detection in infrared image sequences

Zhao Cheng; Tianxu Zhang; Luxin Yan; Xiaoping Wang

doi:10.1117/1.3497569

1 November 2010 Clutter suppression algorithm based on bidirectional local binary pattern for moving point target detection in infrared image sequences

Zhao Cheng, Tianxu Zhang, Luxin Yan, Xiaoping Wang

Author Affiliations +

Optical Engineering, Vol. 49, Issue 10, 107005 (November 2010). https://doi.org/10.1117/1.3497569

Abstract

A clutter suppression algorithm called the rectification filter with indications of bidirectional local binary patterns (BDLBP-RF) is proposed as a resolution to the problem of detecting dim targets in infrared (IR) image sequences. First of all, a local binary pattern (LBP) operator with properties of grayscale and rotation invariance is introduced in the application of clutter suppression. Each pixel in the image is estimated by its spatial neighbor pixels and the corresponding LBPs in prior and posterior frames. The approach proposed is based on a spatiotemporal process, in which interframe and intraframe properties of the IR image sequence are both taken into account. The method is evaluated by the comparative experiments, and the LBP operator's optimum values of radius and number of neighbors are discussed. The results of the experiment prove that BDLBP-RF has excellent performance and stability in clutter suppression under various situations. The target point in images processed by our approach received high signal-to-clutter ratio gain, and the detectability of the target is enhanced.

©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Zhao Cheng, Tianxu Zhang, Luxin Yan, and Xiaoping Wang "Clutter suppression algorithm based on bidirectional local binary pattern for moving point target detection in infrared image sequences," Optical Engineering 49(10), 107005 (1 November 2010). https://doi.org/10.1117/1.3497569

Published: 1 November 2010

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