Course Outline

Day 1:

  • Loading images
  • Dealing with RGB components of the image
  • Saving the new images
  • Gray scale images
  • Binary images
  • Masks

Day 2:

  • Analyzing images interactively
  • Removing noise
  • Aligning images and creating a panoramic scene
  • Detecting lines and circles in an image

Day 3:

  • Image histogram
  • Creating and applying 2D filters
  • Segmenting object edges
  • Segmenting objects based on their color and texture

Day 4

  • Performing batch analysis over sets of images
  • Segmenting objects based on their shape using morphological operations
  • Measuring shape properties


Basic knowledge of computer programming and images.

  28 Hours

Testimonials (2)

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