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基于特征的图像注册颜色空间和通道,探测器和描述器的比较分析

Wenan Yuan¹, Sai Raghavendra Prasad Poosa¹, Rutger Francisco Dirks¹

¹Independent Researcher, Oak Brook, IL 60523, USA.

Journal of imaging

|May 24, 2024

概括

颜色空间对于图像注册而言,与灰度相比,没有显著的优势. 虽然一些组合,如XYZ/RGB与SIFT/FAST探测器和VGG/SIFT描述器产生高质量,灰度仍然是一个可行的选择.

科学领域:

计算机视觉计算机视觉
图像处理图像处理
科学计算科学计算

背景情况:

基于特征的图像注册对于对齐图像至关重要.
标准方法通常使用灰度图像.
颜色空间和开源特征探测器/描述器的潜在好处需要系统的评估.

研究的目的:

量化各种颜色空间和频道对灰度的性能,用于图像注册.
评估开源特征检测器和描述器的相对性能.
确定最佳组合,以获得高质量和强大的图像注册.

主要方法:

使用了UDIS-D基准数据集,包括1106个不同的图像对.
评估了21个颜色空间/通道,9个特征检测器和11个特征描述器.
在1,950,984个注册中使用诸如再投影错误,RMSE,SSIM,故障率和功能计数等指标来评估性能.

主要成果:

在灰度上使用色彩空间或通道时没有观察到任何实质性的好处.
对于 XYZ 和 RGB 颜色空间以及 L* 频道,观察到较小的性能改进.
性能最好的组合包括XYZ/RGB与SIFT/FAST检测器和AKAZE/VGG/SIFT描述器.

结论:

灰度图像足以用于基于特征的一般图像注册,无需强迫色彩空间.
像SIFT/VGG和FAST/VGG这样的特定探测器-描述器对显示出强大的注册的希望.
进一步的研究可以探索颜色信息可能有益的专业应用.

关键词:

打开CVV 打开CVV 在这里,Python是Python.这是一个比较的比较.图像拼接图像拼接图像拼接

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