| 工业CT图像亚体素表面检测算法研究 |
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| 引用本文： | 王凯,张定华,赵歆波,黄鹤龄,刘晶.工业CT图像亚体素表面检测算法研究[J].CT理论与应用研究,2005,14(3):40-45. |
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| 作者姓名： | 王凯 张定华 赵歆波 黄鹤龄 刘晶 |
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| 作者单位： | 西北工业大学现代设计与集成制造技术教育部重点实验室,西安,710072;西北工业大学计算机学院,西安,710072 |
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| 基金项目： | 国家自然科学基金，航空科研项目 |
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| 摘 要： | 针对ICT图像序列,研究了基于Facet模型和基于矩的亚体素表面检测算法,并通过引入基于Otsu的阈值分割预处理环节,大大减少了待处理体素的数目,在很大程度上提高了原始算法的处理速度.最后在对航空发动机叶片仿真数据的实验中,对比了算法处理效果,结果表明两算法检测精度均可达1/5个像素以内,预处理环节的引入可将原始算法速度提高约4倍.
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| 关 键 词： | 工业CT 亚体素表面检测 Facet模型 几何矩 |
| 文章编号： | 1004-4140（2005）03-0045-06 |
| 收稿时间： | 2005-06-08 |
| 修稿时间： | 2005年6月8日 |
Research on Subvoxel Surface Detection Algorithms of ICT Images |
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| WANG Kai,ZHANG Ding-hua,ZHAO Xin-bo,HUANG He-ling,LIU Jing.Research on Subvoxel Surface Detection Algorithms of ICT Images[J].Computerized Tomography Theory and Applications,2005,14(3):40-45. |
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| Authors: | WANG Kai ZHANG Ding-hua ZHAO Xin-bo HUANG He-ling LIU Jing |
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| Abstract: | For ICT image sequence, two kinds of subvoxel surface detection algorithms: facet model-based method and moment-based method are studied. To solve the problem of large computation of both algorithms, a pre-processing procedure based on Otsu threshold segmentation is proposed, which can reduce the number of surface voxel candidates a lot and accelerate the original one greatly. Finally, we compare the two subvoxel edge detection algorithms in the experiment on aeroengine blade simulation data. The results show that both methods can achieve less than 1/5th pixel accuracy and the introduction of the pre-processing procedure can increase the speed about 4 times. |
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| Keywords: | industrial computer tomography (ICT) subvoxel surface detection facet model geometric moment |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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