一种基于LTS-HD测度的低信噪比图像鲁棒配准方法

针对图像传感器的固有噪声严重影响现有图像配准算法精度和可靠性的现状．提出了一种对低信噪比图像的鲁棒配准方法．通过采用区域多向灰度差阈值抑制的特征点提取技术和基于LTS-HD（Least Trimmed Square Hausdorff Distance）测度的特征点集匹配方法来获取待配准图像间的仿射变换参数以实现配准．对噪声干扰和场景变换具有良好的适应性

A LTS-HD measure based robust registration approach to low SNR images

Since inherent noise of image sensors influences the precision and reliability of numerous existing image registration algorithms severely,a robust registration approach to low SNR images is presented.By using the technique of the regional multi-direction gray difference threshold to extract feature points,and then adopting least trimmed square Hausdorff distance(LTS-HD) measure based point set matching method to acquire parameters of the affine transform,the algorithm realizes the registration of images to be registered.Experimental results indicate that the method has the preferable adaptability for noise disturbance and scene change.