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:2019,28(7):180-183
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基于局部边缘特征水平集演化的主动脉CT图像分割
(宝鸡文理学院 计算机学院, 宝鸡 721016)
Segmentation of Aorta CT Scans Based on Local Edge Features via Level Set
(School of Computer, Baoji University of Arts and Sciences, Baoji 721016, China)
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投稿时间:2019-01-09    修订日期:2019-02-03
中文摘要: 腹腔主动脉所处环境复杂,不可避免的造成弱边缘和边缘不均匀等问题.提出一种基于局部边缘特征的水平集演化算法,根据其所处水平集内部与外部相邻区域的相关性赋值加权因子,使得能量函数最小化.实验结果表明,本算法在实验精度和稳定性方面取得了良好的效果.
Abstract:The complex environment of abdominal aorta inevitably leads to the problems of weak edges and inhomogeneities. To solve the problem, an algorithm for segmentation of aorta CT scans based on local edge features via level set is proposed. The energy function is minimized by assigning weighting factors according to their relative importance of the inside and outside of the evolving contour. The results show that the new approach is more accurate and stable and can obtain fairly satisfied effect.
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基金项目:宝鸡文理学院校级重点项目(ZK16009)
引用文本:
亢伉.基于局部边缘特征水平集演化的主动脉CT图像分割.计算机系统应用,2019,28(7):180-183
KANG Kang.Segmentation of Aorta CT Scans Based on Local Edge Features via Level Set.COMPUTER SYSTEMS APPLICATIONS,2019,28(7):180-183

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