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Image Processing Onramp

MathWorks via MATLAB Academy

Overview

  • Introduction: Familiarize yourself with image processing concepts and the course.
  • Working with Images in MATLAB: Import, display, and manipulate color and grayscale images.
  • Segmenting an Image: Create binary images by thresholding intensity values.
  • Pre- and Postprocessing Techniques: Improve image segmentation using common pre- and postprocessing techniques.
  • Classification and Batch Processing: Develop a metric to classify an image, and apply that metric to a set of image files.
  • Conclusion: Learn next steps and give feedback on the course.

Syllabus

  • Course Overview
  • Getting Images into MATLAB
  • Grayscale and Color Images
  • Contrast Adjustment
  • Working with Images Interactively
  • Course Example - Photos of Receipts
  • What is Segmentation
  • Thresholding Intensity Values
  • Working with Binary Images
  • Improving Segmentation
  • Filtering Noise
  • Background Subtraction
  • Binary Morphology
  • Developing a Metric for Receipt Detection
  • Batch Processing with Image Datastores
  • Course Example - Extract Images Containing Receipts
  • Additional Resources
  • Survey

Taught by

Erin Byrne

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