Parallelism of extended-field-of-view sonography based on scale invariant feature transform

Ruixin Ding, Junming Wu, Qinghua Huang

科研成果: 书/报告/会议事项章节会议稿件同行评审

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.

源语言英语
主期刊名Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
426-429
页数4
DOI
出版状态已出版 - 2011
已对外发布
活动2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 - Shanghai, 中国
期限: 15 10月 201117 10月 2011

出版系列

姓名Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
1

会议

会议2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
国家/地区中国
Shanghai
时期15/10/1117/10/11

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