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image for course Postprocessing to Improve Segmentation

Postprocessing to Improve Segmentation

Improve image segmentation results and refine noisy segmentations using mask-cleaning functions and morphological operations like erosion, dilation, opening, and closing.

Course modules

Introduction

Familiarize yourself with the course.

Lessons:
  • Course Overview
  • Learning Outcomes

Mask-Cleaning Functions

Use MATLAB functions to remove noise from your segmentation.

Lessons:
  • Clear Foreground Noise and Fill Holes
  • Filter Regions of Foreground

Morphological Operations

Learn about the different morphological operations and how they modify binary images.

Lessons:
  • What Are Morphological Operations?
  • Erosion and Dilation
  • Erode and Dilate a Binary Image
  • Opening and Closing
  • How to Choose a Structuring Element
  • Open and Close a Binary Image

Use Morphological Operations to Clean a Binary Mask

Refine your segmentation with morphological operations.

Lessons:
  • Estimate Structuring Element Size
  • Fill Out Segmented Objects
  • Smooth Edges of a Segmentation

Project

Practice and review the course material.

Lessons:
  • Isolate a Fish Camouflauged in Sand

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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