一种改进的医学图像深度信息恢复算法

摘要

针对医学图像深度信息恢复的实时性问题, 提出了一种Harris角点检测与SIFT特征点检测相结合的算法, 提取医学图像的特征点, 采用欧式距离作为相似性判定准则将特征点进行匹配, 克服了传统SIFT算法提取特征点过多、 耗时长的问题. 并对获得较致密的视差图, 运用三角测量的方法恢复医学图像的深度信息. 实验结果表明,文中所提算法在缩短了医学图像深度信息恢复的时间的同时提高了精度, 验证了该算法的有效性.%A Harris-SIFT algorithm is proposed to extract the medical image feature points at first for real -time medical image depth information recovery .The Euclidean distance is used as the similarity criterion for matching the feature points .This matching algorithm reduces the feature points and time consumption of SIFT extraction . The denser disparity maps are processed by the triangulation method to recover the depth information of medical image . The experimental result shows that the proposed algorithm effectively reduces the medical image depth information re -covery time and improves the accuracy .