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A Method to Extract Future Warships in Complex Sea-Sky Background which May Be Virtually Invisible

机译:在复杂的海洋背景中提取未来战舰的方法,这可能几乎是看不见的

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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.
机译:下一代战舰可能对人眼几乎看不见。这可以通过用超材料绘制船舶来实现。这些材料可以围绕物体弯曲,使其出现在观察者上,好像波浪已经过空间。我们开发了一种在图像处理的帮助下识别这些船舶目标的方法。复杂海洋背景中船舶目标提取研究具有提高成像型海洋导航和航海交通管制系统能力的重要价值。根据复杂海洋背景的成像性质,本文提出了一种可靠的船舶目标提取方法。一般指导线是将海天分割线作为先验知识,然后通过海天分区线的不连续区域确定目标潜在区域。首先,采用本地选择性窗口滤波器过滤图像;其次,八个方向Sobel操作员边缘检测方法和梯度霍夫变换组合以提取图像中的海洋分割线;然后采用多直方图匹配技术来移除海和天空背景,从而从复杂的背景中提取船舶目标。实验表明,我们的方法具有对噪声,小计算复杂性和稳定性的鲁棒性的优点。

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