|
|||||
|
|
| 利用对称区域生长算法实现三维ICT图像的快速分割 | |
| 引用本文： | 魏英,田宝玉,孙晶晶,夏云野. 利用对称区域生长算法实现三维ICT图像的快速分割[J]. 光学技术, 2011, 37(2): 183-187 |
| 作者姓名： | 魏英 田宝玉 孙晶晶 夏云野 |
| 作者单位： | 1. 北京邮电大学泛网无线通信教育部重点实验室,北京,100876;北京信息科技大学自动化学院,北京,100101 2. 北京邮电大学泛网无线通信教育部重点实验室,北京,100876 3. 北京航空航天大学机械工程及自动化学院,北京,100191 4. 华北计算技术研究所,北京,100101 |
| 基金项目： | 北京市教育委员会科技发展计划面上项目 |
| 摘 要： | 图像分割作为一种基础的分析手段在工业计算机断层(Industrial Computed Tomography,ICT)检侧中有着广泛的应用.随着CT扫描方式从二维断层扫描向三维立体扫描的发展,对于CT图像的分析也由二维图像处理发展为三维序列图像处理,所以传统的图像分割手段已经不能很好地适应这种需求了.以目前在计算机视觉... |
| 关 键 词： | 计算机断层扫描 对称区域生长算法 图像分割 |
Fast segmentation of 3D-ICT images by symmetric region growing method |
|
| WEI Ying,TIAN Baoyu,SUN Jingjing,XIA Yunye. Fast segmentation of 3D-ICT images by symmetric region growing method[J]. Optical Technique, 2011, 37(2): 183-187 | |
| Authors: | WEI Ying TIAN Baoyu SUN Jingjing XIA Yunye |
| Affiliation: | 1.Key Lab of Universal Wireless Communications of Ministry of Education, Beijing University of Posts and Telecommunications,Beijing 100876,China)(2.College of Automation,Beijing Information Science & Technology University,Beijing 100101,China)(3.School of Mechanical Engineering and Automation,Beihang University of Aeronautics and Astronautics,Beijing 100191,China)(4.North Computer Institute,Beijing 100101,China) |
| Abstract: | Image segmentation has been widely applied in the industrial computed tomography testing(ICT).Along with the ICT scanning mode developing from two-dimension to three-dimension,the computed tomography image analysis has been changed from two-dimension image to three-dimension image.The traditional image segmentation methods have not kept up with the development yet.A symmetric region growing fast segmentation method is proposed.The parameters used in the algorithm are computed automatically according to the ICT images.And the choice of the initial seed points doesn't affect the final results.Because this method processes the 3D images and combination the regions slice by slice,the cost of the memory is reduced greatly.The experimental results prove that this method has higher accuracy and computation efficiency than traditional segmentation algorithms. |
| Keywords: | computed tomography symmetric region growing image segmentation |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |