采用最优峰值的相位相关红外图像配准方法

对数极坐标域下的图像配准方法常因相位相关互功率谱呈现多峰分布而影响匹配准确度，为此提出了一种基于区域最优峰值的相位相关红外图像配准方法。首先将待配准图像和参考图像转换到对数极坐标域，其次以自适应巴特沃斯高通滤波为预处理，最后结合归一化互相关和相位相关的相似性测度，在合理截断互功率谱半径轴低数值段的基础上，筛选出最优峰值实现自动配准，同时研究了对数极坐标变换尺寸对匹配性能的影响，给出了最优尺寸变换比。实验结果表明:该算法对噪声污染图像表现出较好的鲁棒性，对于存在平移、旋转和缩放的红外图像具有更高的配准精度。

Registration method of infrared images based on the optimal peak of phase-correlation criterion

The log-polar transform is a well known space variant image registration scheme. However, due to the phase cross-power spectrum showing the multi-peak distribution, the accuracy of image registration is greatly influenced. To deal with this problem, an infrared image registration method based on the optimal peak of phase-correlation criterion was proposed. First, the source image and the reference image were converted to the log polar domain respectively. Second, the adaptive Butterworth high-pass filter was adopted to weaken the low-frequency noise. Finally, combined normalized cross-correlation and phase correlation similarity measure, the optimal peak of the cross-power spectrum was acquired based on truncating the low value of the cross-power spectrum. Moreover, the influence of LPT-image size on the matching performance was discussed and the appropriate size ratio of LPT transformation was presented. The experimental results indicate that the proposed method has higher precision and better anti-noisy performance than those of the normal LPT matching algorithm and is suitable for rotated, scaled and translated infrared images registration.