Automating Image Processing

This course is part of multiple programs. Learn more

Instructors: Amanda Wang +4 more

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What you'll learn

  •   Apply image processing algorithms to large sets of images & verify your algorithms generalize to new images
  •   Apply image processing algorithms to video files
  •   Analyze your image & video processing results, including calculating statistics like average area & identifying outliers
  •   Complete a specialization-level project where you will detect cars in a noisy video
  • Skills you'll gain

  •   Automation
  •   Matlab
  •   Computer Vision
  •   Data Store
  •   Image Analysis
  •   Anomaly Detection
  • There are 4 modules in this course

    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.

    Working with Video Files

    Analyzing Results

    Final Project: Detecting Cars in a Noisy Video

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