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Content Provider | IET Digital Library |
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Author | Song, Huajun Qiu, Peihua |
Abstract | Three-dimensional (3D) images have become increasingly popular in practice. They are commonly used in medical imaging applications. In such applications, it is often critical to compare two 3D images, or monitor a sequence of 3D images. To make the image comparison or image monitoring valid, the related 3D images should be geometrically aligned first, which is called image registration (IR). However, IR for 3D images would take much computing time, especially when a flexible method is considered, which does not impose any parametric form on the underlying geometric transformation. Here, the authors explore a fast-computing environment for 3D IR based on the distributed parallel computing. The selected 3D IR method is based on the Taylor's expansion and 3D local kernel smoothing. It is flexible, but involves much computation. The authors demonstrate that this fast-computing environment can effectively handle the computing problem while keeping the good properties of the 3D IR method. The method discussed here is therefore useful for applications involving big data. |
Starting Page | 1713 |
Ending Page | 1720 |
Page Count | 8 |
ISSN | 17519659 |
Volume Number | 12 |
e-ISSN | 17519667 |
Issue Number | Issue 10, Oct (2018) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/12/10 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.1021 |
Journal | IET Image Processing |
Publisher Date | 2018-04-24 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | 3D Image Sequences 3D IR Method 3D Local Kernel Smoothing Computer Vision And Image Processing Technique Distributed Parallel Computing Geometric Transformation Image Comparison Image Monitoring Image Registration Image Sequence Medical Imaging Application Optical, Image And Video Signal Processing Parallel Processing Parallel Software Taylor Expansion Three-dimensional Image Registration |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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