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NoisyGrayStep

gray.py

This code creates static images illustrating how perception of boundary sharpness is affected little by noise.


Two slightly different gray fields
    Observations:
  • average brightness is a neutral gray
  • step in brightness is small
  • boundary is clear and sharp

Same fields with dominant noise:
    Observations:
  • average brightness is the same
  • step in average brightness is the same
  • introduced noise greater than the step
  • boundary is less clear but still sharp

egray.py

This creates similar static images illustrating how introduction of a gradient sharpens perception.

ungray.py

This uses your first camera to acquire images which are then processed to gray-level boundaries in all three color planes.

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