Phase-based Feature Detection in Fetal Ultrasound Images
文献类型：会议论文
| 作者 | Wang, Weiming; Zhu, Lei; Chui, Yim-Pan; Qin, Jing; Heng, Pheng-Ann |
| 出版日期 | 2014 |
| 会议名称 | ICIST 2014 - Proceedings of 2014 4th IEEE International Conference on Information Science and Technology |
| 会议地点 | 中国 |
| 英文摘要 | Detection of image features is an essential step in many medical applications. However, it is very challenging to accurately extract important features from ultrasound data that is corrupted by various imaging artifacts. Traditional intensity-based methods generally have poor performance in detecting salient features from ultrasound images. In contrast, phase-base approaches have been shown to perform well in these images because they are theoretically intensity invariant. In this paper, we extend previous phase-based methods to the field of fetal ultrasound images to detect both symmetric and asymmetric features, which correspond to ridge-like and step edge-like object boundaries, respectively. This is achieved by exploiting local phase-based measures computed from a 2D isotropic analytic signal: monogenic signal. Experimental results in clinical images demonstrate the outperformance of the proposed approach. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5582]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Wang, Weiming,Zhu, Lei,Chui, Yim-Pan,et al. Phase-based Feature Detection in Fetal Ultrasound Images[C]. 见:ICIST 2014 - Proceedings of 2014 4th IEEE International Conference on Information Science and Technology. 中国. |
入库方式： OAI收割
来源：深圳先进技术研究院
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