为更好地保留原始红外图像的目标信息，挖掘更多微光图像的细节信息，提出一种结合分割红外图像与增强微光图像的融合方法。首先对原始红外图像进行二维最大熵法分割以提取红外目标信息，对原始微光图像进行 Za-deh变换以增强其细节信息，依据红外分割图，将增强后的微光图像与原始红外图像进行一次融合；然后，在非下采样contourlet变换(NSCT)域，对原始红外图像、微光图像和一次融合后的图像进行二次融合，得到最终融合图像。通过试验对比，所提出的二次融合方法得到的融合图像视觉效果明显优于其它方法。最后，利用多个指标进行客观评价。结果显示，该方法可有效突出目标信息，提高图像清晰度与对比度，挖掘更多细节信息。%In order to preserve the original obj ect information of the infrared image and mine more detail information from LLL image,this paper puts forward a fusion method which combines to segment original infrared image and to enhance o-riginal LLL images.Firstly,segmenting the infrared image with 2D maximum entropy method to extract the infrared tar-get information,enchancing the LLL image by Zadeh transform for getting more image details,on the basis of the seg-mentation map to fuse the enhanced LLL image and original infrared image;then two original images and the first fused image are used to realize fusion in non-subsapled contourlet transform(NSCT)domain,we get the second fused image.By contrast of experiments,the fusion image of the second fused method’s visual effect is better than other methods.Finally, a multi-index evaluation is used to evaulate the fused images’quality,its results show that the proposed method can high-light the target information,improve the image resolution and contrast and mine more details.
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