Homework 31

Due Thursday December 5

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Module mash.py

• Supports the creation of a new image that is a mash up of two existing images — bg and fg. The new image has bg as its background. The pixels in fg that are dissimilar to the back screen color are copied on top of the background.

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Downloads

• Module mash.py

• Tester smashing.py

• Used by module mash for some simple holistic testing of its capabilities.

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Primary function (already written)

• combine( bg, fg, sx, sy, back_screen )

• Returns mash up of background image bg and foreground image fg, where the pixels in fg that are dissimilar to back_screen are copied on top of the background.

• The mash up uses location (sx, sy) as the spot in the background to start the overlay of fg.

def combine( bg, fg, sx, sy, back_screen ) :

  bw, bh = bg.size # size of background image

  fw, fh = fg.size # size of foreground image

  copy = bg.copy() # get a copy of background image

  new_image = copy.convert( 'RGB' ) # to be the basis of new image

  for fx in range( 0, fw ) : # consider every (fx, fy)

  for fy in range( 0, fh ): # possibility of the new image

  fspot = ( fx, fy ) # name spot (fx, fy )

  fpixel = fg.getpixel( fspot ) # get the pixel at fspot

  nx = sx + fx # determine spot on new image

  ny = sy + fy # to paint fpixel

  nspot = ( nx, ny )

  # check whether fpixel should be painted on new image at nspot

  if ( colorable( nspot, new_image, fpixel, back_screen ) ) :

  new_image.putpixel( nspot, fpixel )

  return new_image # return the mash up

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Helpful constant (already defined)

• SIMILARITY_THRESHOLD = 85

• Usage: values v1 and v2 are considered similar if the difference between v1 and v2 is less than SIMILARITY_THRESHOLD.

• Note: the difference between values v1 and v2 is the absolute value of v1 - v2.

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Functions to be written

• distance( p1, p2 )

• Returns the the sum of RGB differences between colors p1 and p2. That is, the sum of the p1 and p2 red-level difference, green-level difference, and blue-level difference.

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• similar( p1, p2 )

• Returns True if the distance between pixels p1 and p2 is less than similarity threshold; otherwise, returns False.

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• is_background( p, back_screen )

• Returns True if p is similar to the back_screen color; otherwise, returns False.

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• inbounds( spot, img )

• Returns True if spot lies on img; otherwise, returns False. That is it returns whether the x-value and y-value for spot are nonnegative, the spot x-value is less than img width, and the spot y-value is less than img height.

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• colorable( spot, img, p, back_screen )

• Returns True if both spot is a location on img (i.e., inbounds) and color p is not similar to color back_screen; otherwise, returns False.

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© 2019 Jim Cohoon

Resources from previous semesters are available.