对于多通道图像注册的规范加权交叉相关性
Gastón A Ayubi1, Bartlomiej Kowalski1, Alfredo Dubra1
1Byers Eye Institute, Stanford University, Palo Alto, CA 94303, USA.
概括
这项研究引入了图像注册的通用化规范化加权交叉相关性 (NWCC),允许像素加权以提高准确性. 这种新方法增强了对采样和边界不规则的图像的记录.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 信号处理 信号处理
背景情况:
- 规范化交叉相关性 (NCC) 是用于图像注册的标准特征不可知方法.
- 现有的NCC方法具有任意尺寸图像,道和采样不规则的局限性.
研究的目的:
- 将标准化交叉相关性 (NCC) 通用化,通过引入像素智能加权来增强图像注册.
- 开发一个通用的规范加权交叉相关性 (NWCC) 和其零平均变体 (ZNWCC).
- 为NWCC和ZNWCC提供离散里埃变换 (DFT) 公式,以有效计算NWCC和ZNWCC.
主要方法:
- 在各种图像维度和频道中审查了现有的NCC定义.
- 提出了一个通用的NWCC,允许对每个频道的像素值进行个别加权.
- 开发了DFT配方,用于快速计算NWCC和ZNWCC,包括重叠计算.
主要成果:
- 引入了通用的NWCC和ZNWCC,使得像素的优先级可以确定,例如,通过信号与噪声比.
- 证明NWCC可以促进对具有不规则边界和稀疏采样的均采样图像的注册.
- 提供基于DFT的计算方法,以实现高效的实现和重叠计算.
结论:
- 拟议的通用NWCC和ZNWCC为图像注册提供了灵活而强大的方法.
- DFT的配方确保了实际应用的计算效率.
- 改进的方法可以更好地记录具有挑战性的图像数据集,采用不统一的采样.
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