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针对在云天背景下红外小目标的检测提出了一种背景抑制滤波器,与其它滤波器相比,滤波后图像的信噪比有了较大的提高。在图像分割时,先对图像均衡化,再利用最大对比度确定门限,该方法比其他分割方法具有更大的灵活性和有效性。在目标检测阶段,我们先进行HFQC滤波,然后设计管道作目标识别,能够较好地检测目标实验证明,该方法的检测精度有了很大提高。
A kind of background suppression filter is proposed for the detection of infrared small targets under the sky background. Compared with other filters, the SNR of the filtered images is greatly improved. In image segmentation, the image is first equalized and the maximum contrast is used to determine the threshold. This method has more flexibility and effectiveness than other segmentation methods. In the target detection phase, we first conduct HFQC filtering, and then design the pipeline for target identification, which can better detect the target experiment proved that the detection accuracy of the method has been greatly improved.