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An Automatic Registration Method Based on Runway Detection

机译:基于跑道检测的自动配准方法

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Runway is seen distinctly that is a crucial condition in the process of approaching and landing. One of the enhanced vision methods is image fusion method between the infrared and visible images in EVS (Enhanced Vision System). The image registration plays a very important role in image fusion. So, an automatic image registration method is proposed based on the accurate runway detection. Firstly, runway is detected using DWT (discrete wavelets transform) from the infrared and visible images respectively. Then, a fitting triangle is constructed according to the edges of runway. The corresponding feature points extracted from the middle points of edges and the centroid of triangle are used to compute the transform parameters. The results of registration are more accurate and efficient than those of registration based on mutual information. This method is robust and has less computation which can be applied to real-time system.
机译:可以清楚地看到跑道,这是进近和着陆过程中的关键条件。增强视觉方法之一是EVS(增强视觉系统)中红外图像与可见图像之间的图像融合方法。图像配准在图像融合中起着非常重要的作用。因此,提出了一种基于精确跑道检测的自动图像配准方法。首先,使用DWT(离散小波变换)分别从红外图像和可见光图像中检测跑道。然后,根据跑道的边缘构造一个拟合三角形。从边缘的中点和三角形的质心提取的相应特征点用于计算变换参数。注册的结果比基于互信息的注册的结果更准确,更有效。该方法是鲁棒的,并且具有较少的计算量,可以应用于实时系统。

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