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Computer vision and Image processing course in Ariel University.

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Computer Vision and Image Processing | Ariel University

packages used:

  • numpy
  • numpy.matlib
  • matplotlib.pyplot
  • cv2
  • PIL

First exercise:


  1. Reading an image into a given representation
  2. Displaying an image
  3. Transforming an RGB image to YIQ color space
  4. Histogram equalization
  5. Optimal image quantization
  

Second exercise:


  1. Convolution
  2. Image derivatives & blurring
  3. Edge detection
  4. Hough Circles
  

Third exercise:


  1. Image Pyramids
  2. Pyramid Blending
  

Fourth exercise:


  1. Stereo Matching (SSD & Normalized Correlation)
  2. Homography (DLT)
  

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Computer vision and Image processing course in Ariel University.

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