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⇱ Introduction to Image Processing | Coursera

Introduction to Image Processing

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Introduction to Image Processing

This course is part of multiple programs.

32,018 already enrolled

Included with

Gain insight into a topic and learn the fundamentals.
4.8

213 reviews

Beginner level

Recommended experience

Flexible schedule
9 hours to complete
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.8

213 reviews

Beginner level

Recommended experience

Flexible schedule
9 hours to complete
Learn at your own pace

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

Details to know

Shareable certificate

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Assessments

6 assignments

Taught in English
92%
Most learners liked this course

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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.

What's included

3 videos4 readings1 assignment1 discussion prompt

3 videos•Total 12 minutes
  • Specialization Overview•3 minutes
  • Introduction to Image Processing•3 minutes
  • What are Digital Images?•6 minutes
4 readings•Total 45 minutes
  • Meet Your Instructors•10 minutes
  • Download and Install MATLAB•15 minutes
  • Course Files•15 minutes
  • A Concrete Example•5 minutes
1 assignment•Total 20 minutes
  • Digital Images•20 minutes
1 discussion prompt•Total 5 minutes
  • What Types of Images Are You Working With?•5 minutes

What's included

2 videos4 readings3 assignments1 app item1 discussion prompt

2 videos•Total 12 minutes
  • Representing Images in MATLAB•6 minutes
  • Working with Image Data•6 minutes
4 readings•Total 45 minutes
  • Image Display vs. Image Data•5 minutes
  • Viewing Meta-Data and non-uint8 Images•15 minutes
  • Exploring Image Compression•15 minutes
  • Your Module 2 Assessment•10 minutes
3 assignments•Total 60 minutes
  • Working with Image Data•30 minutes
  • Concept Check: Exploring Images•20 minutes
  • Concept Check: Working with Image Data•10 minutes
1 app item•Total 30 minutes
  • Project: Adjusting a Dark and Rotated Image•30 minutes
1 discussion prompt•Total 5 minutes
  • What impacted file size?•5 minutes

What's included

3 videos4 readings1 assignment1 app item2 discussion prompts

3 videos•Total 17 minutes
  • Segmenting Grayscale Images•9 minutes
  • Introduction to Color Spaces•4 minutes
  • Thresholding Color Images•4 minutes
4 readings•Total 85 minutes
  • Practice Thresholding Grayscale Images•30 minutes
  • Practice Converting Between Color Spaces•20 minutes
  • Analyzing Satellite Images with Color Thresholding•30 minutes
  • Module 3 Project: Analyzing Ice Melt•5 minutes
1 assignment•Total 40 minutes
  • Thresholding Images•40 minutes
1 app item•Total 30 minutes
  • Project: Analyzing Ice Melt•30 minutes
2 discussion prompts•Total 15 minutes
  • Isolating Ripe Blueberries•10 minutes
  • What is the increase in visible water?•5 minutes

What's included

4 videos4 readings1 assignment1 app item1 plugin

4 videos•Total 13 minutes
  • Common Image Adjustments•1 minute
  • Image Contrast and Histograms•3 minutes
  • Improving Image Contrast•7 minutes
  • Course Summary•2 minutes
4 readings•Total 52 minutes
  • Practice Adjusting Image Contrast•30 minutes
  • Other Approaches to Image Enhancement•15 minutes
  • Your Module 4 Assessment•5 minutes
  • What's Next!?•2 minutes
1 assignment•Total 30 minutes
  • Adjusting Contrast•30 minutes
1 app item•Total 30 minutes
  • Project: Adjusting Contrast of Color Images•30 minutes
1 plugin•Total 5 minutes
  • Complete the Course Survey•5 minutes

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Instructors

Instructor ratings
4.8 (64 ratings)
MathWorks
9 Courses•48,874 learners

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Learner reviews

  • 5 stars

    82.62%

  • 4 stars

    14.55%

  • 3 stars

    0.46%

  • 2 stars

    0.46%

  • 1 star

    1.87%

Showing 3 of 213

SV
·

Reviewed on Feb 28, 2025

this is a very good beginner course that introduces several useful image processing techniques.

SJ
·

Reviewed on Oct 10, 2022

I​ got to learn a lot even when I was completely new to both MATLAB and image processing. Would reccomend it because of the knowledgable and helpful instructors.

BB
·

Reviewed on Aug 19, 2023

Course was tailored in such a way that we can understand easily

Frequently asked questions

Yes. A free license is available to learners enrolled in the course. You must have a computer capable of running MATLAB. You can view the system requirements here.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Financial aid available,