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Computer Vision. Introduction to Image formats, reading and writing images, and image environments Image filtering. Images. Black and white image is a 2D matrix. Intensities represented as pixels. Color images are 3D matrix, RBG. Linear Filtering.

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Presentation Transcript
computer vision
Computer Vision
  • Introduction to Image formats, reading and writing images, and image environments
  • Image filtering
images
Images
  • Black and white image is a 2D matrix.
  • Intensities represented as pixels.
  • Color images are 3D matrix, RBG.
linear filtering
Linear Filtering
  • About modifying pixels based on neighborhood. Local methods simplest.
  • Linear means linear combination of neighbors. Linear methods simplest.
  • Useful to:
    • Integrate information over constant regions.
    • Scale.
    • Detect changes.
  • Fourier analysis.
slide6

Convolution

  • Convolution kernel g, represented as matrix.
    • it’s associative
  • Result is:
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