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Introduction to Image Processing

This course is part of multiple programs.

Instructors: Amanda Wang

31,515 already enrolled

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

210 reviews

Beginner level

Recommended experience

Flexible schedule

9 hours to complete

Learn at your own pace

92%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

210 reviews

Beginner level

Recommended experience

Flexible schedule

9 hours to complete

Learn at your own pace

92%

Most learners liked this course

What you'll learn

Perform analysis on a variety of common image datatypes & recognize their strengths and limitations
Detect objects and regions of interest using intensity-based & color-based image segmentation
Improve image contrast using a variety of modern algorithms for different use-cases, such as low light or fog
Complete a project where you analyze Antarctic ice melt in satellite images

Skills you'll gain

Tools you'll learn

Matlab

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 assignments

Taught in English

91%

of learners achieved a positive career outcome

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Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

In this introduction to image processing, you'll take your first steps in accessing and adjusting digital images for analysis and processing. You will load, save, and adjust image size and orientation while also understanding how digital images are recognized. You will then perform basic segmentation and quantitative analysis. Lastly, you will enhance the contrast of images to make objects of interest easier to identify.

By the end of the course, you’ll apply your segmentation skills to identify regions of interest, such as the amount of surface water from satellite images. This introduction to image processing will give you the foundation you need to conduct more advanced work on this topic. You will use MATLAB throughout this course. MATLAB is the go-to choice for millions of people working in engineering and science and provides the capabilities you need to accomplish your image processing tasks. You will be provided with free access to MATLAB for the duration of the course to complete your work. To be successful in this course you should have a background in basic math and some exposure to MATLAB. If you want to familiarize yourself with MATLAB check out the free, two-hour MATLAB Onramp. Experience with image processing is not required.

Module details

What's included

3 videos4 readings1 assignment1 discussion prompt

3 videosTotal 12 minutes

Specialization Overview3 minutes
Introduction to Image Processing3 minutes
What are Digital Images?6 minutes

4 readingsTotal 45 minutes

Meet Your Instructors10 minutes
Download and Install MATLAB15 minutes
Course Files15 minutes
A Concrete Example5 minutes

1 assignmentTotal 20 minutes

Digital Images20 minutes

1 discussion promptTotal 5 minutes

What Types of Images Are You Working With?5 minutes

What's included

2 videos4 readings3 assignments1 app item1 discussion prompt

2 videosTotal 12 minutes

Representing Images in MATLAB6 minutes
Working with Image Data6 minutes

4 readingsTotal 45 minutes

Image Display vs. Image Data5 minutes
Viewing Meta-Data and non-uint8 Images15 minutes
Exploring Image Compression15 minutes
Your Module 2 Assessment10 minutes

3 assignmentsTotal 60 minutes

Working with Image Data30 minutes
Concept Check: Exploring Images20 minutes
Concept Check: Working with Image Data10 minutes

1 app itemTotal 30 minutes

Project: Adjusting a Dark and Rotated Image30 minutes

1 discussion promptTotal 5 minutes

What impacted file size?5 minutes

What's included

3 videos4 readings1 assignment1 app item2 discussion prompts

3 videosTotal 17 minutes

Segmenting Grayscale Images9 minutes
Introduction to Color Spaces4 minutes
Thresholding Color Images4 minutes

4 readingsTotal 85 minutes

Practice Thresholding Grayscale Images30 minutes
Practice Converting Between Color Spaces20 minutes
Analyzing Satellite Images with Color Thresholding30 minutes
Module 3 Project: Analyzing Ice Melt5 minutes

1 assignmentTotal 40 minutes

Thresholding Images40 minutes

1 app itemTotal 30 minutes

Project: Analyzing Ice Melt30 minutes

2 discussion promptsTotal 15 minutes

Isolating Ripe Blueberries10 minutes
What is the increase in visible water?5 minutes

What's included

4 videos4 readings1 assignment1 app item1 plugin

4 videosTotal 13 minutes

Common Image Adjustments1 minute
Image Contrast and Histograms3 minutes
Improving Image Contrast7 minutes
Course Summary2 minutes

4 readingsTotal 52 minutes

Practice Adjusting Image Contrast30 minutes
Other Approaches to Image Enhancement15 minutes
Your Module 4 Assessment5 minutes
What's Next!?2 minutes

1 assignmentTotal 30 minutes

Adjusting Contrast30 minutes

1 app itemTotal 30 minutes

Project: Adjusting Contrast of Color Images30 minutes

1 pluginTotal 5 minutes

Complete the Course Survey5 minutes

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Instructors

Instructor ratings

(64 ratings)

Amanda Wang

MathWorks

9 Courses48,149 learners

Offered by

MathWorks

Learner reviews

5 stars
82.85%
4 stars
14.28%
3 stars
0.47%
2 stars
0.47%
1 star
1.90%

Showing 3 of 210

Reviewed on Apr 29, 2025

Thanks learnt a lot, will leverage these skills further in robotics

Reviewed on Sep 3, 2022

Great course with good examples, quizzes, and practice live scripts. Thoroughly enjoyed. Thank you MathWorks and coursera for providing a wonderful course. Cant wait to start the second Course .

Reviewed on May 17, 2026

I got the large break in between due to exam. so during that my matlab lisense got expired sue to which I was not able to practice in the last module. So please try to find solution for this problem.

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