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%。

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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。

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A fast star tracking algorithm is proposed.

提出了一种快速星跟踪算法。

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