针对液晶人眼像差校正仪拍摄的小视场视网膜血管图像的拼接算法进行了研究.通过对传统的Harris特征角点算法的改进,解决了该算法在低对比度、小视场视网膜血管图像处理中定位精度较差、需要三次高斯平滑而导致计算量相对较大以及对噪声比较敏感的缺点.然后将配准好的图像进行融合,实现了视网膜血管图像快速、准确的无缝拼接,扩大了视网膜的观测区域,为医务人员的诊治判断提供了更准确的信息.
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