Explicit Order Model for Region-based Level Set Segmentation
文献类型：会议论文
| 作者 | Wang, Lingfeng ; Pan, Chunhong
|
| 出版日期 | 2015 |
| 会议名称 | IEEE International Conference on Acoustics, Speech & Signal Processing |
| 会议日期 | 2015 |
| 会议地点 | South Brisbane |
| 关键词 | Image Segmentation, Level Set, Region-based, CV Model, LBF Model |
| 英文摘要 | Region-based level set methods have been widely used for image segmentation. Among them, the method based on local binary fitting (LBF) model is an efficient one. Unfortunately, LBF model is sensitive to initial contour. To overcome this disadvantage, we propose two explicit order models, i.e., the global order preserving and local order smoothness models. The global order preserving model ensures that the binary fitting values have the same order globally, while the local order smoothness model requires that these orders are smooth locally. With these two models, our segmentation results are not sensitive to initializations. Experimental results on synthetic and real images show desirable performances of our method, as compared with the state-of-the-art approaches. |
| 收录类别 | EI |
| 会议录 | IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
 |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/10763]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_遥感图像处理团队 |
| 作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | Wang, Lingfeng,Pan, Chunhong. Explicit Order Model for Region-based Level Set Segmentation[C]. 见:IEEE International Conference on Acoustics, Speech & Signal Processing. South Brisbane. 2015. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。