应用科学学报 ›› 2019, Vol. 37 ›› Issue (4): 481-489.doi: 10.3969/j.issn.0255-8297.2019.04.005
秦臻1, 戴修斌2, 谢理哲3
收稿日期:
2018-06-14
修回日期:
2018-12-24
出版日期:
2019-07-31
发布日期:
2019-10-11
通信作者:
戴修斌,副教授,研究方向:医学图像处理,E-mail:daixb@njupt.edu.cn
E-mail:daixb@njupt.edu.cn
基金资助:
QIN Zhen1, DAI Xiubin2, XIE Lizhe3
Received:
2018-06-14
Revised:
2018-12-24
Online:
2019-07-31
Published:
2019-10-11
摘要: 为了实现X射线头影测量图像中结构特征点的自动定位,提出一种基于双层回归森林模型的头影测量图像结构特征点自动定位方法.首先从图像中提取外观特征训练第1层回归森林模型,通过该模型生成针对当前特征点位置的偏移距离图;然后从偏移距离图中提取上下文特征,并结合外观特征训练第2层回归森林模型;接着将双层回归森林模型用于待检测的X射线头影测量图像,预测出图像中每个像素关于目标特征点的偏移距离;最后根据回归投票方法求得结构特征点位置.实验结果表明,基于双层回归森林模型的自动定位方法能较准确地获得头影测量图像中结构特征点的位置.
中图分类号:
秦臻, 戴修斌, 谢理哲. 基于双层回归森林模型的头影测量图像结构特征点自动定位[J]. 应用科学学报, 2019, 37(4): 481-489.
QIN Zhen, DAI Xiubin, XIE Lizhe. Anatomical Landmark Localization in Lateral Cephalograms by Using Two-Layer Regression Forests[J]. Journal of Applied Sciences, 2019, 37(4): 481-489.
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