Computer Vision and Image Processing

Objectives

  • Understand the process of image formation and colour spaces
  • Perform image processing based on convolutions and filters
  • Apply feature based methods to detect and recognize objects in images
  • Apply Deep Learning methods to detect and recognize objects in images

Program

  • Image formation and representation
  • Colour Spaces - RGB, HSV, YCbCr, LAB, xyY
  • Image processing in the spatial and frequency domains
  • Object detection and recognition in feature based and deep learning approaches

Bibliography

“Computer Vision: Algorithms and Applications”, Richard Szeliski, 2011 “Deep Learning”, Ian Goodfellowm Bengio and Courville, MIT PRess, 2016 “Deep Learning with Python”, Francois Chollet, Manning Publications, 2017

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