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A new image fusion algorithm based on Fuzzy Logic

机译:一种新的基于模糊逻辑的图像融合算法

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摘要

An image fusion algorithm is presented based on fuzzy logic and wavelet in this paper. Aiming at the visible and infrared image fusion, we analyze the pixel level image fusion algorithms, and addresses an algorithm based on the discrete wavelet transform and fuzzy logic. We created two fuzzy relations, and estimated the importance of every wavelet coefficient with fuzzy reasoning. According to the importance of coefficients, the weighting average coefficients were calculated. Ultimately, we reconstructed the fused image through inverse wavelet transform. In the experimental section, we verified the effectiveness of the algorithm with two actual image data acquired from the field experiments.
机译:提出了一种基于模糊逻辑和小波的图像融合算法。针对可见光和红外图像融合,我们分析了像素级图像融合算法,并提出了一种基于离散小波变换和模糊逻辑的算法。我们创建了两个模糊关系,并使用模糊推理估计了每个小波系数的重要性。根据系数的重要性,计算出加权平均系数。最终,我们通过逆小波变换重建了融合图像。在实验部分,我们使用从野外实验获得的两个实际图像数据验证了该算法的有效性。

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