Zhou Yongjin, Xue Hui, Wan Mingxi
Department of Biomedical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Comput Med Imaging Graph. 2003 Nov-Dec;27(6):513-23. doi: 10.1016/s0895-6111(03)00036-3.
An efficient image registration algorithm, the Inverse Compositional image alignment method based on minimization of Sum of Squared Differences of images, is applied in fundus blood vessel angiography under confocal scanning laser ophthalmoscope, to build image mosaics which have larger field of view without loss of resolution to assist diagnosis. Furthermore, based on similar technique, the angiography video stabilization algorithm is implemented for fundus documenting. The actual underlying models of motion between images and corresponding convergence criteria are also discussed. The experiment results in fundus images demonstrate the effectiveness of the registration scheme.
一种高效的图像配准算法，即基于图像平方差之和最小化的逆合成图像对齐方法，被应用于共焦扫描激光眼底镜下的眼底血管造影，以构建具有更大视野且不失分辨率的图像拼接图来辅助诊断。此外，基于类似技术，实现了用于眼底记录的血管造影视频稳定算法。还讨论了图像之间运动的实际潜在模型以及相应的收敛标准。眼底图像的实验结果证明了该配准方案的有效性。
