一种在复杂海天背景下提取未来军舰的方法

G. K. Santhalia, Nitin Sharma, Sanatya Singh, Milan Das, J. Mulchandani
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引用次数: 11

摘要

下一代军舰可能是肉眼几乎看不见的。这可以通过给船只涂上超材料来实现。这些材料可以使物体周围的光弯曲,使观察者看起来好像光波穿过了空旷的空间。我们开发了一种基于图像处理的舰船目标识别方法。研究复杂海天背景下舰船目标的提取对提高成像型海上导航和海上交通控制系统的性能具有重要价值。根据复杂海天背景的成像特性,提出了一种可靠的舰船目标提取方法。一般的指导方针是将海天分割线作为先验知识,然后通过海天分割线的不连续区域确定目标位势区域。首先,采用局部选择性窗口滤波器对图像进行滤波;其次,结合八方向Sobel算子边缘检测方法和梯度Hough变换提取图像中的海天分割线;然后采用多直方图匹配技术去除海天背景,从复杂背景中提取舰船目标;实验表明,该方法对噪声具有鲁棒性,计算量小,稳定性好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Notice of Violation of IEEE Publication PrinciplesA Method to Extract Future Warships in Complex Sea-Sky Background which May Be Virtually Invisible
The next generation of warships might be virtually invisible to the human eye. This can be achieved by painting ships with metamaterial. These materials can bend light around object, making it to appear to an observer as though the waves have passed through empty space. We have developed a method to identify these ships target with the help of image processing. Research on the extraction of ship target in complex sea-sky background has important value to improve the capability of imaging-typed sea navigation and nautical traffic control systems. According to the imaging property of complex sea-sky background, a reliable ship target extraction method is proposed in this paper. The general guide line is that getting the sea-sky division line as a priori knowledge and then the target potential area is determined through discontinuous region of the sea-sky division line. Firstly, a local selective window filter is adopted to filter the image; secondly, eight directions Sobel operator edge detection method and gradient Hough transform are combined to extract sea-sky division line in the image; then a multi-histogram matching technique is adopted to remove the sea and sky background and thus ship target is extracted from complex background. The experiments show that our method has the merits of robustness to noise, small computational complexity and stability.
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