- Level Foundation
- Duration 13 hours
- Course by MathWorks
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Offered by
About
In this course, you will build on the skills acquired in Image Segmentation, Filtering, and Region Analysis to explore large sets of images and video files. It’s impractical to manually inspect results in large data sets. Automating image processing allows you to do your work more efficiently. At the end of this course, you’ll apply all the skills learned in this specialization to a final project. You’ll take the role of an engineer being asked to monitor traffic on a busy road. You’ll detect cars from a noisy video and analyze the results. 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
- Automating Image Processing
3
Readings
- Course Overview
- Meet Your Instructors
- Course files and MATLAB
Processing Batches of Images
1
Discussions
- How Did You Segment the Crack Images?
2
Videos
- Using the Image Batch Processor App
- Batch Processing with Image Datastores
1
Readings
- Segmenting and Analyzing Concrete Crack Images
Module 1 Assessment
2
Assignment
- Concept Check
- Automated Region Counting Project Assessment
1
Readings
- Automated Region Counting Project
Analyzing Frames in Video Files
1
Assignment
- Practice working with video frames
1
Videos
- Working with Video Files
Segmenting Video Frames with Background Subtration
1
Assignment
- Analyzing Videos
1
Discussions
- Segment moving objects in your own videos
1
Videos
- Detecting Moving Objects
Analyzing Results
1
External Tool
- Analyzing concrete crack image data
1
Videos
- Analyzing Data in MATLAB
Evaluating Results and Tradeoffs
1
Assignment
- Module 3 Quiz
1
Videos
- Practical Image Processing
Project Overview
1
Assignment
- Final Project Pre-Quiz: Watching the RoadTraffic.mp4 video
1
Videos
- Introduction to the Final Project
Part 1: Preprocessing the Video
1
External Tool
- Final Project Assessment 1: Removing noise from video frames
1
Readings
- Section 1: Preprocessing the video
Part 2: Isolating the Cars
1
Assignment
- Final Project Assessment 2: Car segmentation results
1
Discussions
- Example Segmented Image
1
Readings
- Section 2: Isolating the cars
Part 3: Calculating Region Properties
1
Assignment
- Final Project Assessment 3: Analyzing the car region properties
3
Readings
- Section 3: Calculating region properties
- Unlockable - Final Project Example Solution
- Final Challenge
Summary and Next Steps
1
Videos
- Summary of Image Processing for Engineering and Science
1
Readings
- What's Next: Computer Vision or Deep Learning?
Auto Summary
"Automating Image Processing" is a foundational course in Science & Engineering, led by Coursera. It focuses on automating tasks to efficiently explore large sets of images and video files using MATLAB. The course culminates in a project where you monitor traffic by detecting cars from video footage. Spanning 780 minutes, it’s suitable for those with basic math and some MATLAB exposure. Free MATLAB access is provided. Subscription options include Starter and Professional plans. Ideal for engineers and scientists looking to enhance their image processing skills.

Amanda Wang

Matt Rich

Brandon Armstrong

Megan Thompson

Isaac Bruss

Sam Jones