Parallelism of Extended-Field-of-View Sonography based on Scale Invariant Feature Transform

摘要：

EFOV sonography can acquire a full field of vision, which can help doctors to make more objective and accurate diagnosis. This paper explores parallel implementation techniques for Extended-Field-of-View (EFOV) Sonography based on Scale Invariant Feature Transform (SIFT). In our method, the SIFT algorithm is used to more accurately register the images. Bidirectional matching algorithm is chosen to improve the accuracy of image registration. For real-time applications, we propose a parallel computing approach to speed up the generation of panorama. Based on the cluster of PCs, we erect a parallel computing platform and perform preliminary experiments. The results demonstrate the effectiveness of our approach by comparing to traditional methods.

关键词： EFOV SIFT MPI parallel algorithm

作者: Ruixin Ding Junming Wu Qinghua Huang

作者单位: School of Electronic and Information Engineering,University of Science and Technology Liaoning Ansha School of Electronic and Information Engineering South China University of Technology Guangzhou, Chi

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 425-428

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）