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Stitching of IR images into a single content based on data which analysis obtained by an optical camera

机译:根据光学相机获得的数据将红外图像拼接成单个内容

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The acquisition of complex data of the recorded scene is an important task for video analysis of the processes occurring. The use of IR images allows obtaining data on additional characteristics that are not visible in the optical range. The data obtained by IR sensors can be in the near and far range, which makes it possible to see objects in the dark or to obtain data on their temperature. In the second case, the boundaries of objects are vague and difficult to correlate with the usual optical ranges. To do this a combination of data obtained by a pair of cameras is used. In this paper, we propose using the algorithm for stitching IR images based on data obtained in the optical range. To this end, an approach will be applied that includes parallel analysis of data on: saliency maps; search for boundaries and key points; reduction of bit resolution of images with preservation of borders; image matching; filtering data and restoring the sharpness of object boundaries. As an example, the result of combining data obtained under poor lighting conditions and the results of combining television images will be presented.
机译:对于发生的过程的视频分析,获取记录场景的复杂数据是一项重要的任务。使用红外图像可以获取有关在光学范围内不可见的其他特征的数据。通过红外传感器获得的数据可以在近距离和远距离范围内,这使得可以在黑暗中看到物体或获得有关其温度的数据。在第二种情况下,物体的边界是模糊的并且难以与通常的光学范围相关联。为此,使用了由一对摄像机获得的数据的组合。在本文中,我们建议使用基于光学范围内获得的数据来拼接红外图像的算法。为此,将采用一种方法,其中包括对以下方面的数据进行并行分析:显着性图;寻找界限和关键点;保留边框,降低图像的位分辨率;图像匹配;过滤数据并恢复对象边界的清晰度。作为示例,将给出在不良照明条件下获得的数据组合结果和电视图像的组合结果。

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