针对目标边界与背景融合效果客观评价的问题, 基于聚合度的概念, 结合伪装效果评价要求, 利用边界图像的灰度信息及其空间分布信息, 通过统计伪装样本数据, 确定聚合度的滤波阈值, 提出了一种基于归一化灰度聚合直方图评价边界融合效果的新方法。实验结果表明, 该方法不仅能够有效地表征目标边界与背景的融合效果, 其评价结果与人眼判读结果吻合, 而且对于人眼难于区分的边界图, 还能够给出融合效果的差异。

In order to evaluate target camouflage effectiveness between the edge and the background, the algorithm base on polymerization degree and the regulations of camouflage effectiveness evaluation, using the gray information and the gray spatial distribution information of the edge’s image, find out the filtering threshold value of polymerization degree by the statistic data of camouflage photos. A new method is applied to evaluate the edge’s camouflage effectiveness by the normalized gray polymerization histogram. The results show that the algorithm can objectively evaluate the edge’s camouflage effectiveness, it is in agreement the observation of human eye. It also can efficiently give the difference between two edge’s images, when the human eye is difficult to distinguish the edge’s camouflage effectiveness.