Image Processing with MATLAB

Course modules

Course Overview

Familiarize yourself with the course.

Lessons:

Course Overview

Working with Image Data

Import, visualize, and extract information from different image types and image data types.

Lessons:

Introduction

Extracting Metadata from Image Files

Representing Different Image Types

Converting Image Data Types

Working with Binary Images

Summary

Preprocessing

Preprocess images to improve algorithms: enhancing contrast, noise removal techniques, block processing, and quality metrics.

Lessons:

Introduction

Adjusting Contrast

Block Processing

Filtering Noise

Quality Metrics

Background Subtraction

Summary

Color Segmentation

Use color spaces, regions of interest, and the Color Thresholder app to segment images based on color.

Lessons:

Introduction

Color Thresholding

Color Spaces

The Color Thresholder App

Segment Based on a Region of Interest

Summary

Texture Segmentation

Use range, entropy, and standard deviation filters to separate regions based on texture.

Lessons:

Introduction

Texture Filters

Summary

Improving Segmentations

Refine your segmentation with morphological operations. Automate segmentation from a seed mask using iterative techniques.

Lessons:

Introduction

Cleaning Binary Masks

Growing Segmentations with Active Contours

Growing Segmentations with the Fast Marching Method

Using the Image Segmenter App

Summary

Finding and Analyzing Objects

Separate overlapping objects in your segmentation. Label objects and measure their properties, such as area and perimeter.

Lessons:

Introduction

Working with Connected Components of a Mask

Separating Overlapping Objects with Watershed Segmentation

Measuring Shape Properties

Summary

Detecting Edges and Shapes

Detect edges of objects and identify lines and circles in an image.

Lessons:

Introduction

Detecting Edges

Detecting Circles

Detecting Lines

Summary

Batch Processing

Process large numbers of files using the Image Batch Processor app and image datastores.

Lessons:

Introduction

Using the Image Batch Processor App

Batch Processing with Image Datastores

Summary

Aligning Images with Image Registration

Lessons:

Introduction

Applying Geometric Transformations

Estimating a Geometric Transformation

Mapping Control Points

Matching Image Features

Summary

Conclusion

Learn next steps and give feedback on the course.

Lessons:

Additional Resources

Survey

Course modules

Course Overview

Working with Image Data

Preprocessing

Color Segmentation

Texture Segmentation

Improving Segmentations

Finding and Analyzing Objects

Detecting Edges and Shapes

Batch Processing

Aligning Images with Image Registration

Conclusion

Language

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

Computer Vision Onramp

Deep Learning Onramp

Signal Processing Onramp

Image Processing Onramp

Cells and Structures

Image Processing with MATLAB

Course modules

Course Overview

Working with Image Data

Preprocessing

Color Segmentation

Texture Segmentation

Improving Segmentations

Finding and Analyzing Objects

Detecting Edges and Shapes

Batch Processing

Aligning Images with Image Registration

Conclusion

Language

Hands-on exercises with automated feedbackAccess to MATLAB through your web browserShareable progress report and course certificate

Computer Vision Onramp

Deep Learning Onramp

Signal Processing Onramp

Image Processing Onramp

Cells and Structures

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