Imaging Components, Systems, and Processing

Infrared target recognition based on improved joint local ternary pattern

[+] Author Affiliations
Junding Sun, Xiaosheng Wu

Henan Polytechnic University, School of Computer Science and Technology, Shiji Street, Jiao Zuo 454003, China

Opt. Eng. 55(5), 053101 (May 03, 2016). doi:10.1117/1.OE.55.5.053101
History: Received January 17, 2016; Accepted April 15, 2016
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Abstract.  This paper presents a simple, efficient, yet robust approach, named joint orthogonal combination of local ternary pattern, for automatic forward-looking infrared target recognition. It gives more advantages to describe the macroscopic textures and microscopic textures by fusing variety of scales than the traditional LBP-based methods. In addition, it can effectively reduce the feature dimensionality. Further, the rotation invariant and uniform scheme, the robust LTP, and soft concave-convex partition are introduced to enhance its discriminative power. Experimental results demonstrate that the proposed method can achieve competitive results compared with the state-of-the-art methods.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Junding Sun and Xiaosheng Wu
"Infrared target recognition based on improved joint local ternary pattern", Opt. Eng. 55(5), 053101 (May 03, 2016). ; http://dx.doi.org/10.1117/1.OE.55.5.053101


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