Volume 42 Issue 10
Feb.  2014
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Liang Shihua, Wu Wei, Li Bo, Jia Zhujun, Ming Delie. Sea-sky-line detection algorithm based on Seam Carving[J]. Infrared and Laser Engineering, 2013, 42(10): 2817-2821.
Citation: Liang Shihua, Wu Wei, Li Bo, Jia Zhujun, Ming Delie. Sea-sky-line detection algorithm based on Seam Carving[J]. Infrared and Laser Engineering, 2013, 42(10): 2817-2821.

Sea-sky-line detection algorithm based on Seam Carving

  • Received Date: 2013-02-04
  • Rev Recd Date: 2013-03-03
  • Publish Date: 2013-10-25
  • Sea-sky-line is important reference information for long-range ship detection. At present, the sea-sky-line detection algorithms, such as liner fitting algorithm, weighted information entropy and Hough line detection methods all need large amount of computation to detect the sea-sky-line. A novel sea-sky-line detection method based on Seam Carving was first proposed in this article. Firstly, the gradient amplitude image was calculated, and then dynamic programming searching for the highest energy line was used to extract the sea-sky-line. The experimental results show that the proposed algorithm have the characteristics of high detection accuracy, wide range of applications, low computational complexity and strong real-time.
  • [1] Jiang Chunliang, Jiang Hanhong, Zhang Chaoliang, et al. A new method of sea-sky-line detection[C]//Third International Symposium on Intelligent Information Technology and Security Informatics, 2010: 740-743.
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    [4] Zhang Bing, Zhao Ningxia, Liu Weiting, et al. Research on water-sky-line detection technique based on wavelet transform[J]. Infrared and Laser Engineering, 2005, 34(4): 297-299. (in Chinese)
    [5] Liu Shijian, Jiang Min, Zhuang Liang. A fast and effective algorithm for sea-sky-line extraction in infrared images [J]. Infrared Technology, 2011, 33(4): 230-232. (in Chinese)
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    [8] Yang Mingyue, Yang Weipin. Automatic detection method of IR warship target in the complex sea-sky background [J]. Infrared and Laser Engineering, 2008, 37 (4): 638-641. (in Chinese)
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    [10] Ai Rui, Shi Zelin, Zhang Chengshuo. A new method for line detection based on low SNR [J]. Infrared and Laser Engineering, 2013, 01: 278-284. (in Chinese)
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    [12] Yang Lei. Study on Infrared Small Target Detection and Tracking Algorithm under Complex Backgrounds, 2006. (in Chinese)
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    [14] Dong Yuefang, Zhang Yunfeng. Extracting sea-sky-line based on improved local complexity[C]//International Conference on Computer, Mechatronics, Control and Electronic Engineering, 2010: 82-85.
    [15] Dong Yuxing, Liu Weining, Wang Shuang. Study of sea-sky-line detection algorithm based on Canny theory [J]. Computer Measurement Control, 2010, 18 (3): 697-698. (in Chinese)
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    [17] Michael Frankovich, Alexander Wong. Enhanced seam carving via integration of energy gradient functionals [C]// IEEE Signal Processing Letters, 2011, 18(6): 375-378.
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    [19] Pan Gang, Li Weishu, Bai Wei, et al. Reverse seam carving[C]//Sixth International Conference on Image and Graphics, 2011: 50-55.
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Sea-sky-line detection algorithm based on Seam Carving

  • 1. School of Information Engineering,Wuhan University of Technology,Wuhan 430070,China;
  • 2. Key Laboratory of Fiber Optic Sensing Technology and Information Processing,Ministry of Education,Wuhan University of Technology,Wuhan 430070,China

Abstract: Sea-sky-line is important reference information for long-range ship detection. At present, the sea-sky-line detection algorithms, such as liner fitting algorithm, weighted information entropy and Hough line detection methods all need large amount of computation to detect the sea-sky-line. A novel sea-sky-line detection method based on Seam Carving was first proposed in this article. Firstly, the gradient amplitude image was calculated, and then dynamic programming searching for the highest energy line was used to extract the sea-sky-line. The experimental results show that the proposed algorithm have the characteristics of high detection accuracy, wide range of applications, low computational complexity and strong real-time.

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