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image for course Image Registration

Image Registration

Apply geometric transformations for image registration, including translation, rotation, and scaling. Explore both automated and manual methods to match features or intensity patterns across images.

Course modules

Introduction

Familiarize yourself with the course.

Lessons:
  • Course Overview
  • Learning Outcomes and Prerequisites
  • Course Example: Align Medical Images

Geometric Transformations

Register images by applying known geometric transformations.

Lessons:
  • What Is a Geometric Transformation?
  • Rotate, Scale, and Translate an Image

Estimate a Geometric Transformation

Automate the estimation of a geometric transformation for image registration.

Lessons:
  • What Is a Transformation Matrix?
  • Transformation Approximation Workflow
  • Register Images with Gradient Correlation

Spatial Referencing

Use a spatial reference to align a moving image in the context of a fixed image.

Lessons:
  • What Is a Spatial Reference?
  • Visualize Transformed Images with a Spatial Reference
  • Translation with a Spatial Reference

Control Point Registration

Register images based on the selected points of interest.

Lessons:
  • What Is Control Point Registration?
  • Types of Transformations Estimated Using Control Points
  • Register Images with Control Points

Feature-Based Registration

Use automatically detected features to align images.

Lessons:
  • What Is Feature-Based Registration?
  • Types of Features
  • Registration Estimator App
  • Match Features to Align Images

Conclusion

Learn next steps and give feedback on the course.

Lessons:
  • Summary
  • Additional Resources
  • Survey

Format:Self-paced

Language:English

Language

  • Hands-on exercises with automated feedback
  • Access to MATLAB through your web browser
  • Shareable progress report and course certificate

Computer Vision Onramp

Learn the basics of computer vision to design an object detector and tracker.

Image Processing Onramp

Learn the basics of practical image processing techniques in MATLAB.

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