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Saliency-based method for extracting road target from night vision infrared image

机译:基于显着性的夜视红外图像道路目标提取方法

摘要

The present invention belongs to the field of machine vision. A saliency-based method for extracting a road target from a night vision infrared image is disclosed. The method combines saliencies of the time domain and the frequency domain, global contrast and local contrast, and low level features and high level features, and energy radiation is also considered to be a saliency factor; thus, the object of processing is an infrared image and not the usual natural image. The extraction of a salient region is performed on the raw natural image on the basis of energy radiation, and the obtained extraction result if the salient region is more accurate and thorough, and the contour of a target in the salient region is clearer.
机译:本发明属于机器视觉领域。公开了一种基于显着性的从夜视红外图像提取道路目标的方法。该方法结合了时域和频域的显着性,全局对比度和局部对比度以及低水平特征和高水平特征,并且能量辐射也被认为是显着性因素。因此,处理的对象是红外图像而不是通常的自然图像。在能量辐射的基础上,对原始自然图像进行显着区域的提取,如果显着区域更加准确和透彻,并且显着区域中的目标轮廓更加清晰,则可以获得提取结果。

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