Medical image registration using Phase-Only Correlation for distorted dental radiographs
Medical image registration using Phase-Only Correlation for distorted dental radiographs
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DOI：
10.1109/icpr.2008.4761734
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发表时间：
2008-12
期刊：
影响因子：
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通讯作者：
Koichi Ito;T. Aoki;Eiko Kosuge;R. Kawamata;I. Kashima
中科院分区：
文献类型：
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作者：
Koichi Ito;T. Aoki;Eiko Kosuge;R. Kawamata;I. Kashima
提出了一种基于纯相位相关(POC)的牙科X光图像配准算法。在牙科X线片图像的2D(二维)离散傅立叶变换中使用相位分量，可以实现高度稳健的图像配准和识别。该算法通过基于POC的亚像素对应搜索来寻找两幅图像之间的对应点，并基于薄板样条线(TPS)模型进行非线性失真校正。使用牙科X线片数据库进行的实验评估表明，该算法即使对失真的X线片也具有有效的识别性能。
This paper proposes an efficient dental radiograph registration algorithm using Phase-Only Correlation (POC). The use of phase components in 2D (two-dimensional) discrete Fourier transforms of dental radiograph images makes it possible to achieve highly robust image registration and recognition. The proposed algorithm finds correspondence points between two images using the sub-pixel correspondence search using POC and corrects nonlinear distortion based on the Thin-Plate Spline (TPS) model. Experimental evaluation using a dental radiograph database indicates that the proposed algorithm exhibits efficient recognition performance even for distorted radiographs.