Compared with the manually traced boundary, except for the failure in one image pair, the mean error radial length rate of star algorithm detected boundary was 21.80%.
结果有一组勾画失败，在其余的五组图像中星形算法与手工勾画的心内膜相比，其勾画边界的平均半径误差率为21.80%。
Based on some traditional algorithms, this thesis provides a weighted star cluster algorithm to learn user profile.
对已有算法进行改进，提出了一种加权的星型聚类算法以学习用户的兴趣特征。
A fast star tracking algorithm is proposed.
提出了一种快速星跟踪算法。
应用推荐