Medical Image Segmentation by More Sensitive Adaptive Thresholding

被引:0
作者
Kim, Cheolhwan [1 ]
Yoon, Jiyoung [1 ]
Lee, Yun-Jung [1 ]
机构
[1] Kyungpook Natl Univ, Daegu, South Korea
来源
2016 6TH INTERNATIONAL CONFERENCE ON IT CONVERGENCE AND SECURITY (ICITCS 2016) | 2016年
关键词
sensitive; adaptive; thresholding; medical; image; segmentation;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
To make 3D surface model from medical images, segmentation is essential process. And, in the case that the HU(Hounsfield Unit) values of the object to be segmented varies in the image, adaptive thresholding segmentation is very efficient segmentation method. But in many cases, it shows insufficient sensitivity of segmentation that weak(dim) objects are not segmented. This problem is caused mainly by strong(bright) object nearby the weak object because adaptive thresholding makes high threshold due to strong object. In this study we present a more sensitive adaptive thresholding method overcoming this problem. Keywords-sensitive; adaptive; thresholding; medical;
引用
收藏
页码:34 / 36
页数:3
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