远距离船舶红外和可见光图像的自动配准方法

M. Guo, Jian Xu, Xiao-dong Zhou
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引用次数: 3

摘要

由于摄影条件差,距离目标船较远,从红外和可见光图像中提取的目标信息和特征较弱,传统的图像配准方法难以对远距离船舶红外和可见光图像的配准起到作用。为了解决这一问题,本文提出了一种基于传感器参数的红外与可见光图像配准方法。首先,根据传感器参数对红外图像和可见光图像进行空间分辨率配准;其次,以红外图像和可见光图像中的船舶目标轮廓中心点作为匹配点,进行粗位移配准;最后,在粗配准的基础上,利用互信息最大化(MMI)技术进行精确位移配准。实验结果证明了该方法的可行性和有效性。该方法可用于远距离船舶红外和可见光图像的实际配准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic registration method for distant ship infrared and visible image
Because the poor photography conditions and the far distance to target ship, the target information and features which could be extracted from the infrared and visible images were so weak that the conventional image registration methods were difficult to take effect on the registration for distant ship infrared and visible image. To solve the problem, this paper presents a sensors' parameters based infrared and visible image registration method. Firstly, the infrared and visible images are registered in spatial resolution on the basis of sensors' parameters. Secondly, a rough shift registration is performed by taking the ship target's contour centre point in infrared and visible image as the matching points. Lastly, on the basis of rough registration, an accurate shift registration is performed by using the maximization of mutual information (MMI) technique. The experimental results proved that the proposed method is feasible and effective. It can be used in the actual registration for distant ship infrared and visible image.
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