将图像区域像素的统计特征引入活动轮廓模型,提出使分割轮廓所包括区域的质心对应角均方根误差极小的最优搜索方法——质心配准法。质心配准法有效地避免了散斑噪声等图像污染对图像区域分割精度的影响,实现了模糊图像精确的区域分割,求得图像最佳配准参数。对实际光学系统输出的多幅具有较大空时互补性的低分辨率图像进行了仿真实验,实验结果表明:该配准算法具有较高的精度,并在光学系统分析上得到了很好的应用。

A novel anti-noise image registration approach, which meets the high challenge of optical systems analysis, is proposed in this paper. Statistical property of pixels in the image regions is introduced to the active contour mode and the optimal search algorithm centroids registration approach derives from minimal root mean square error of angles corresponding to extraction region centroids. Centroids registration approach is given to effectively avoid the impact of image contaminations such as speckle. It also reaches the goal of precise region extraction which can be used to get the optimal affine parameters. The results of experiments on low resolution images taken from real optical system with spatio-temporal complementarities demonstrate that this approach is an effective way to register images and works well for optical systems analysis.