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image for course Color Spaces and Image Segmentation

Color Spaces and Image Segmentation

Explore RGB, HSV, and L*a*b* color spaces for image segmentation. Learn when and how to convert between color spaces, analyze the information each one provides, and segment images interactively using the Color Thresholder app.

Course modules

Introduction

Familiarize yourself with the course.

Lessons:
  • Course Overview
  • Learning Outcomes and Prerequisites
  • Course Example: Segment Ripe Fruit

Color Thresholding

Segment images by applying thresholds to red, green, and blue color plane values.

Lessons:
  • Introduction
  • Threshold RGB Color Planes
  • Color Profiles
  • Segment with Multiple Color Planes

Color Spaces

Convert images to HSV and L*a*b* color spaces and work with color planes in those spaces.

Lessons:
  • Introduction
  • Segment in the L*a*b* Color Space
  • HSV Color Space
  • Segment in the HSV Color Space

The Color Thresholder App

Experiment with different color planes, and interactively segment based on color.

Lessons:
  • Introduction
  • Segment with the Color Thresholder App
  • Use the Output of the Color Thresholder App

Segment Based on a Sample Color

Segment based on the average color in a region of interest.

Lessons:
  • Introduction
  • Select a Region of Interest
  • Segment Based on a Region of Interest
  • What Are Close Colors in RGB?

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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