Multiscale Geometric Active Contour Modeland Boundary Extraction in Kidney MR Images
文献类型：会议论文
| 作者 | Ling Li; Jia Gu; Tiexiang Wen; Wenjian Qin; Hua Xiao; Jiaping Yu |
| 出版日期 | 2014 |
| 会议名称 | HIS 2014 |
| 英文摘要 | Active contour methods (ACM) are model-based approaches for image segmentation and were developed in the late 1980s. ACM can be divided into two classes: parametric active contour model and geometric active contour model. Geometric method is intrinsic model. Because of its completeness in mathematics, geometric active contour model overcomes many difficulties of the parametric active contour model. However, in medical images with heavy structural noise, the evolution of the geometric active contour will be seriously affected. To handle this problem, this paper proposed a multiscale geometric active contour model, based on the multiscale analysis method—bidimensional empirical mode decomposition. In the human kidney MR images, the proposed multiscale geometric active contour model successfully extracts the complex kidney contour. |
| 收录类别 | 其他 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5902]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Ling Li,Jia Gu,Tiexiang Wen,et al. Multiscale Geometric Active Contour Modeland Boundary Extraction in Kidney MR Images[C]. 见:HIS 2014. |
入库方式： OAI收割
来源：深圳先进技术研究院
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