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Image Processing and Pattern Recognition

Course objective

To be familiar with processing of images, pattern recognition and their applications

Syllabus at a glance

  1. 1Introduction to digital image processing
  2. 2Two-dimensional systems
  3. 3Image enhancement and restoration
  4. 4Image coding and compression
  5. 5Introduction to pattern recognition in images
  6. 6Recognition and classification
  7. 7Grey level features edges and lines
  8. 8Segmentation
  9. 9Frequency approach and transform domain
  10. 10Advanced Topics
Read the full syllabus