计算机工程与应用Issue(24)：191-194,218,5.DOI:10.3778/j.issn.1002-8331.1202-0377
胸部CT图像肺区域边界凹陷自动修补
Automatic repair of lung boundary concave in chest CT images
摘要
Abstract
After the lung regions are segmented in chest CT images, there exist some concavities or gaps on lung borders. The scheme of connection between boundary curve local minimum points is proposed to repair the lung boundary for gaining the entire lung parenchyma segmentation. Different matching templates are selected to detect the local minimum points in the border curve under different coordinates in order to determine locations that need to repair. Two contiguous local minimum points are connected across the concavity to repair the segmented lung border flaw. The experimentation shows that the scheme in this paper reduces the fault segmentation and enhances the efficiency of lung parenchyma segmentation efficiently.关键词
CT图像/肺边界/图像分割/边界局部极小值点/匹配模板Key words
Computerized Tomography(CT)image/lung boundary/image segmentation/boundary local minimum point/matching template分类
信息技术与安全科学引用本文复制引用
张欣,王兵,杨颖,王苗,吴辰,张进兴..胸部CT图像肺区域边界凹陷自动修补[J].计算机工程与应用,2013,(24):191-194,218,5.基金项目
河北大学开放基金（No.BM201110）；博士基金（No.2010-196）；河北大学大学生创新创业训练计划项目。 （）
