Special Section on Advances on Distributed Smart Cameras

Adaptable active contour model with applications to infrared ship target segmentation

[+] Author Affiliations
Lingling Fang, Xianghai Wang, Yu Wan

Liaoning Normal University, Department of Computer and Information Technology, Dalian City, Liaoning Province 116029, China

J. Electron. Imaging. 25(4), 041010 (Jun 28, 2016). doi:10.1117/1.JEI.25.4.041010
History: Received December 15, 2015; Accepted June 7, 2016
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Abstract.  Active contour model is widely and popularly used in the field of image segmentation because of its superior theoretical properties and efficient numerical methods. An algorithm to segment a ship target in infrared (IR) images using Chan–Vese (C–V) active contour model is proposed here. The method effectively integrates both image regional and boundary information by an adaptable weight function. The method can segment IR ship images, which usually contain noises, blurry boundaries, and heterogeneous regions. In addition, compared with the state-of-the-art methods, experiment results demonstrate the performance and effectiveness of this method.

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Citation

Lingling Fang ; Xianghai Wang and Yu Wan
"Adaptable active contour model with applications to infrared ship target segmentation", J. Electron. Imaging. 25(4), 041010 (Jun 28, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.4.041010


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