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Computer-aided infrared camouflage effectiveness evaluation method based on image saliency

机译:基于图像显着性的计算机辅助红外伪装效果评估方法

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This paper reports on a new computer-aided method for the infrared camouflage effectiveness evaluation of a target based on its image saliency. The image saliency of a target was computed according to its background-related features, including intensity, contrast, gradient and orientation features in one real infrared image. On the basis of the former saliency value, the camouflage effectiveness value of a target was calculated quantitatively. The results clearly indicated that the target without infrared camouflage had a low camouflage effectiveness value, while a target with good infrared camouflage (the camouflage pattern patches of the target matched well with the background) had a high camouflage effectiveness value, which proved that this method could not only reflect the infrared camouflage effectiveness of a target in the corresponding background actually but also help us differentiate the camouflage quality of different materials quantitatively. This method should be of importance for us to evaluate the infrared camouflage effectiveness of a target more quickly and objectively with the help of computers, instead of human observations.
机译:本文报告了一种新的计算机辅助方法,用于基于其图像显着性对目标的红外伪装有效性评估。根据其背景相关的特征计算目标的图像显着性,包括一个真正红外图像中的强度,对比度,梯度和方向特征。在前显着性值的基础上,定量计算目标的伪装效力值。结果清楚地表明,没有红外伪装的目标具有低伪装效率值,而具有良好红外伪装的靶标(目标匹配与背景良好的靶标匹配的伪装图案贴片)具有高的伪装效率值,这证明了这种方法不仅反映了相应背景中目标的红外伪装效率实际上还可以帮助我们定量地区分不同材料的伪装质量。这种方法应该对我们来说,在计算机的帮助下更快地理解目标的红外伪装效率,而不是人类观察。

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