An improved algorithm for facet-based infrared small target detection

Kejia Yi; Tingquan Deng; Jing Guan; Gongze Wang; Hao Chen

doi:10.1117/12.901966

8 December 2011 An improved algorithm for facet-based infrared small target detection

Kejia Yi, Tingquan Deng, Jing Guan, Gongze Wang, Hao Chen

Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 80030V (2011) https://doi.org/10.1117/12.901966
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

Infrared small target detection is an important research area of computer vision and often a key technique in Infrared Search and Track (IRST) systems. Many algorithms have been reported for this purpose. The facet-based method is one of novel algorithms and is shown as robust and efficient, but it does not perform well in target preservation. The method cannot detect peripheral pixel of target, which causes information loss of target intensity distribution and affects post processing of detection, such as target tracking and recognition. In this paper an improved algorithm is developed for solving this shortcoming. The detection behavior of the facet model is further analyzed. Small target is surrounded by background, so local image edge that indicates target contour can be represented by zero-crossings of the second partial derivatives. The improved algorithm uses facet model to fit local intensity surface and detect potential targets using extremum theory, then the zero-crossings of the second partial derivatives of the fitting function in each potential target's neighborhood are found and the pixels inside the zero-crossing contour are restored to the potential target. In experiments involving typical infrared images target intensity distribution information is well preserved by proposed algorithm and its execution time is also acceptable.

Citation Download Citation

Kejia Yi, Tingquan Deng, Jing Guan, Gongze Wang, and Hao Chen "An improved algorithm for facet-based infrared small target detection", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 80030V (8 December 2011); https://doi.org/10.1117/12.901966

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