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

机译:基于图像显着度的计算机辅助红外伪装效能评估方法

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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:本文报道了一种新的计算机辅助方法,可基于目标图像的显着性来评估目标的红外伪装效果。根据目标的背景相关特征(包括一个真实红外图像中的强度,对比度,梯度和方向特征)计算目标的图像显着性。根据前一个显着性值,定量计算目标的伪装效果值。结果清楚地表明,没有红外伪装的目标具有较低的伪装效果值,而具有良好红外伪装的目标(目标的伪装图案斑块与背景良好匹配)具有较高的伪装效果值,证明了该方法的有效性。不仅可以实际反映目标在相应背景下的红外伪装效果,还可以帮助我们定量区分不同材料的伪装质量。该方法对于我们借助计算机而不是人工观察来更快,更客观地评估目标的红外伪装效果至关重要。

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