Image processing: course

Book

Description

This is an introduction into digital image processing and analysis.

Prerequisites

Calculus I, computer language preferred but not required.

Lectures

• Introduction to image processing and analysis:
  • Examples of image analysis
• Digital images
  • Raster representation of images: binary, gray scale, and color
  • Vector representation of images
  • Basics of image processing: noise, blur, contrast, sharpness etc
• Introduction to image analysis
  • Image analysis with Pixcavator
  • Image analysis with ImageJ
• Image processing and enhancement
  • Software: MS Paint etc, Adobe Photoshop
  • MATLAB Image Processing Toolbox
• Fourier transform
• Graph representation of the topology of gray scale images

Notes

Software: Pixcavator Student Edition (free)