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一种自动标定颅骨特征点的方法
引用本文:刘晓宁,周明全,高原.一种自动标定颅骨特征点的方法[J].西北大学学报,2005,35(3):258-261.
作者姓名:刘晓宁  周明全  高原
作者单位:西北大学可视化研究所,陕西西安710069
基金项目:国家自然科学基金项目(60271032)
摘    要:目的提出一种自动检测颅骨关键特征点的方法。方法首先利用图像预处理技术得到颅骨轮廓,计算颅骨质心;然后根据颅骨质心与左右眼眶中心点的角度关系计算出左右眼眶中心点;最后利用各个特征点之间的拓扑关系和SUSAN算子自动标定出颅骨的9个关键特征点。结果试验证明,该方法不仅准确率高,而且速度快。结论解决了颅像重合中颅骨特征点自动标定的关键问题,可以在很大程度上提高颅像重合的准确率和效率。

关 键 词:特征点  拓扑关系  SUSAN算子  颅像重合
文章编号:1000-274X(2005)03-0258-04
修稿时间:2004年3月24日

Automatically mark the feature points of skull
LIU Xiao-ning,ZHOU Ming-quan,GAO Yuan.Automatically mark the feature points of skull[J].Journal of Northwest University(Natural Science Edition),2005,35(3):258-261.
Authors:LIU Xiao-ning  ZHOU Ming-quan  GAO Yuan
Abstract:Aim Photographic superimposition is a new way to do identification. It is important to automatically mark the feature points of skull in photographic superimposition. An automatical method is presented.Methods First, get the contour of skull based on image preprocess technique and calculate the skull centroid. Then according to the relationship between skull centroid and the centre point of orbital cavity, the centre point of orbital cavitiey is obtained. Finally, nine key points are located according to SUSAN operator and the topology between feature points.Results Experimental results show that the method performs well and provides higher accuracy and speed.Conclusion The key problem of automatically marking the feature points of skull is resolved,the accuracy and efficiency are improved greatly.
Keywords:feature points  topology  SUSAN operator  photographic superimposition
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