- Level Foundation
- Duration 11 hours
- Course by MathWorks
-
Offered by
About
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.Modules
Welcome to the Course
2
Videos
- Specialization Overview
- Introduction to Image Processing
3
Readings
- Meet Your Instructors
- Download and Install MATLAB
- Course Files
Getting Started with Digital Images
1
Assignment
- Digital Images
1
Discussions
- What Types of Images Are You Working With?
1
Videos
- What are Digital Images?
1
Readings
- A Concrete Example
Getting Images into MATLAB
1
Assignment
- Concept Check: Exploring Images
1
Videos
- Representing Images in MATLAB
3
Readings
- Updated Image Viewer App
- Image Display vs. Image Data
- Viewing Meta-Data and non-uint8 Images
Computations with Images
1
Assignment
- Concept Check: Working with Image Data
1
Discussions
- What impacted file size?
1
Videos
- Working with Image Data
1
Readings
- Exploring Image Compression
Module 2 Assessment
1
Assignment
- Working with Image Data
1
External Tool
- Project: Adjusting a Dark and Rotated Image
1
Readings
- Your Module 2 Assessment
Thresholding Grayscale Images
1
Videos
- Segmenting Grayscale Images
1
Readings
- Practice Thresholding Grayscale Images
Thresholding Color Images
1
Discussions
- Isolating Ripe Blueberries
2
Videos
- Introduction to Color Spaces
- Thresholding Color Images
2
Readings
- Practice Converting Between Color Spaces
- Analyzing Satellite Images with Color Thresholding
Module 3 Assessment
1
External Tool
- Project: Analyzing Ice Melt
1
Discussions
- What is the increase in visible water?
1
Readings
- Module 3 Project: Analyzing Ice Melt
1
Quiz
- Thresholding Images
Introduction to Image Contrast
2
Videos
- Common Image Adjustments
- Image Contrast and Histograms
1
Quiz
- Practice Quiz: Image Contrast and Histogram Concept Check
Adjusting Image Contrast
1
External Tool
- Practice Adjusting Contrast
1
Videos
- Improving Image Contrast
3
Readings
- Updates to the Image Viewer App
- Adjusting Contrast in Grayscale and Color Images
- Other Approaches to Image Enhancement
1
Quiz
- Practice Quiz: Image Adjustment and Enhancement Concept Check
Module 4 Assessment
1
External Tool
- Histogram Matching
1
Readings
- Tips for the Quiz
1
Quiz
- Adjusting Contrast
Summary and Next Steps
1
Videos
- Course Summary
1
Readings
- What's Next!?
Auto Summary
Dive into the dynamic world of image processing with this foundational course tailored for science and engineering enthusiasts. Led by Coursera, you'll master the basics of digital image analysis using MATLAB, from loading and adjusting images to performing segmentation and quantitative analysis. Ideal for those with basic math skills and some MATLAB exposure, this 660-minute course offers free MATLAB access and is perfect for beginners aiming to enhance their technical toolkit. Available with Starter and Professional subscription options.

Amanda Wang

Matt Rich

Brandon Armstrong

Megan Thompson

Isaac Bruss

Sam Jones