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image for course Semi-Automated Image Segmentation

Semi-Automated Image Segmentation

Segment images efficiently by combining automated algorithms with user input to refine object boundaries. Learn methods for growing segmentations from seeds, and segment images interactively with the Image Segmenter app.

Course modules

Introduction

Familiarize yourself with the course.

Lessons:
  • Course Overview
  • Learning Outcomes and Prerequisites

Active Contours

Automate segmentation starting with an initial mask by using active contours.

Lessons:
  • Grow a Mask from a Seed with Active Contours
  • Tune Parameters of Active Contours

Fast Marching Method

Automate segmentation starting with an initial mask by using the fast marching method (FMM).

Lessons:
  • What Is the Fast Marching Method?
  • FMM Workflow
  • Grow a Mask from a Seed with FMM
  • Calculate the Grayscale Image for FMM
  • Improve a Grayscale Image for FMM

The Image Segmenter App

Use the Image Segmenter app to segment interactively and experiment with different methods of segmentation.

Lessons:
  • Interactive Segmentation
  • Segment with the Image Segmenter

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

Image Processing Onramp

Learn the basics of practical image processing techniques in MATLAB.

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