Introduction to Image Processing

This course is part of multiple programs. Learn more

Instructors: Amanda Wang +5 more

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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

  •   Graphical Tools
  •   Matlab
  •   Data Import/Export
  •   Image Analysis
  •   Spatial Data Analysis
  •   Data Access
  •   Computer Vision
  •   Quantitative Research
  • There are 4 modules in this course

    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.

    Working with Image Data

    Thresholding Images

    Adjusting Image Contrast

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