以交互方式配准图像

Register Images Using Registration Estimator App

This example shows how to align a pair of images using the 图像配准器 app.

• Load Images, Spatial Referencing Information, and Initial Transformation
• Tune Registration Settings in Registration Estimator App
• Export Results from Registration Estimator App

Techniques Supported by Registration Estimator App

Registration Estimator app provides algorithms for feature-based, intensity-based, and nonrigid registration.

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指标

选择适用于单模态或多模态图像的图像指标和优化器。

Use Phase Correlation as Preprocessing Step in Registration

Phase correlation is useful to estimate an initial transformation when images are severely misaligned.

Registering an Image Using Normalized Cross-Correlation

This example shows how to 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 transformation, you can pick corresponding points in a pair of images.

Geometric Transformation Types for Control Point Registration

Control point registration can infer the parameters for nonreflective 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图像中的控制点，请使用控制点选择工具。

• Start the Control Point Selection Tool
• Find Visual Elements Common to Both Images
• Select Matching Control Point Pairs
• Export Control Points to the Workspace

Use Cross-Correlation to Improve Control Point Placement

Fine-tune your control point selections using cross-correlation.