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Fast infrared sea ship target detection based on improved BING algorithm
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Paper Abstract

The key to the target detection of infrared sea ship is real-time, fast and efficient detection of the real goal. The BING method, which introduces the binarization approximation calculation, can quickly detect target. But for infrared images, the approximate calculation also brings some shortcomings. The approximation of the gradient feature makes the overall gradient of the image amplitude decrease and some of the smaller gradient edge details disappear, so that leading to the weak distinguished ability. Based on the BING algorithm, we propose an improved BING algorithm which can quickly extract the candidate regions of infrared ship images. In the normed gradients(NG) feature, we introduce the Laplace difference operator and use the two-level cascaded SVM to learn them. Experimental results have shown that our method is effective and rapid to extract the region of interest (ROI) of the target ship.

Paper Details

Date Published: 15 November 2017
PDF: 6 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106051R (15 November 2017); doi: 10.1117/12.2291736
Show Author Affiliations
Lexing Li, Shenyang Institute of Automation (China)
Northeastern Univ. (China)
Zelin Shi, Shenyang Institute of Automation (China)
Yunpeng Liu, Shenyang Institute of Automation (China)


Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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