图像配准
使用强度相关性、特征匹配或控制点映射来对齐两个图像
Image Processing Toolbox™ 和 Computer Vision Toolbox™ 一共提供四种图像配准解决方案:使用图像配准器的交互式配准、基于强度的自动图像配准、控制点配准和自动特征匹配。有关选择使用哪种方法的帮助,请参阅Choose an Image Registration Technique。
App
图像配准器 | 配准二维灰度图像 |
函数
主题
以交互方式配准图像
- Register Images Using Registration Estimator App
Align a pair of images using feature-based registration techniques in the Registration Estimator app.
使用基于强度的优化配准图像
- Intensity-Based Automatic Image Registration
Intensity-based automatic image registration uses a similarity metric, an optimizer, and a transformation type to register two images iteratively. - 为基于强度的图像配准创建优化器和度量
选择适用于单模态或多模态图像的图像度量和优化器。 - Use Phase Correlation as Preprocessing Step in Registration
Use phase correlation to estimate an initial transformation when images are severely misaligned. - Register an Image Using Normalized Cross-Correlation
Determine the translation needed to align a cropped subset of an image with the larger image.
使用控制点映射配准图像
- Control Point Registration
To determine the parameters of a geometric transformation, you can pick corresponding pairs of points in two images. - Geometric Transformation Types for Control Point Registration
Control point registration can infer the parameters for similarity, affine, projective, polynomial, piecewise linear, and local weighted mean transformations. - 控制点选择过程
要以交互方式指定一对二维图像中的控制点,请使用控制点选择工具。
- Fine-Tune Control Point Placement