Under the background of telemedicine, a new registration and mosaic algorithm for medical images is proposed in this paper to solve the problems of electronic noise, uneven illumination and ray scattering in the real-time medical process. The improved Retinex algorithm by trilateral filter and homomorphic filtering algorithm can enhance the image effectively in preprocessing. The improved phase correlation algorithm based on log polar transformation was used to calculate parameters, such as rotation, scaling and translation. Then, the SUSAN corner matching points were extracted in overlapping positions, the improved KD tree was used for enhancing matching efficiency. Later, matching points were purified by the improved RANSAC algorithm. Finally, images were processed by Laplacian pyramid decomposition algorithm to make the image joint seemed smooth and natural. The results of experiments and evaluation criteria confirm that the new method has high robustness in the process of medical image registration and stitching in the network.

本文在远程医疗背景下，针对实时医疗过程中存在的电子噪声、光照不均匀和射线散射等问题，提出了一种新的医学图像配准和拼接算法。三边滤波和同态滤波算法改进的 Retinex 算法可以在预处理中有效地增强图像。使用基于对数极坐标变换的改进相位相关算法计算旋转、缩放和平移等参数。然后在重叠位置提取SUSAN角点匹配点，利用改进的KD树提高匹配效率。后来，通过改进的RANSAC算法对匹配点进行了纯化。最后，图像采用拉普拉斯金字塔分解算法进行处理，使图像拼接处显得平滑自然。实验结果和评价标准证实了新方法在网络医学图像配准和拼接过程中具有较高的鲁棒性。