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一种快速有效的医学图像灰度插值算法
A Fast and Effective Gray Level Interpolation of Medical Images
【摘要】 介绍一种用于快速有效的医学图像灰度插值算法。通过在两幅已知图像上寻找对应点 ,有效地解决了线性插值边界模糊的问题 ,同时避免了基于形状的插值算法中图像分割的问题 ,具有较强的适用范围。实验结果表明此算法能得到令人满意的插值结果
【Abstract】 A fast and effectire gray-level interpolation method is introduced. Via finding corresponding points in both original images, it effectively resolve the problem of fuzzy boundary that is caused by linear interpolation. At the same time, it avoid image segmentation that is used in shape-based interpolation. The results show this method is effective.
【关键词】 线性插值;
样条插值;
基于形状的插值;
三维重建;
【Key words】 Linear interpolation; Spline interpolation; Shape-based interpolation; 3D reconstruction;
【Key words】 Linear interpolation; Spline interpolation; Shape-based interpolation; 3D reconstruction;
- 【文献出处】 生物医学工程研究 ,Journal of Biomedical Engineering Research , 编辑部邮箱 ,2003年04期
- 【分类号】R-39
- 【被引频次】16
- 【下载频次】183