the-baptized-pixel.py

# imports image module from the PIL libary
from PIL import Image
 
# opens the favicon as an object to read the pixel values
im = Image.open('Favicons/InNOut.png')
 
# alphabet string to make the keys of the dictionary
alphabet = 'abcdefghijklmnopqrstuvwxyz'
 
# gets the frequencies of all the pixel values as an RGB tuple and stores them as a list
pdata = list(im.getcolors())
 
# a list which stores the normalized RGB values of the image into 27 buckets.   
newdata = []
 
# a dictionary which associates the 26 RGB buckets to the english alphabet 
alphaDict = {(0,0,0):'a',(0,0,1):'b',(0,0,2):'c',(0,1,0):'d',(0,1,1):'e',(0,1,2):'f',(0,2,0):'g',(0,2,1):'h',(0,2,2):'i',(1,0,0):'j',(1,0,1):'k',(1,0,2):'l',(1,1,0):'m',(1,1,1):'n',(1,1,2):'o',(1,2,0):'p',(1,2,1):'q',(1,2,2):'r',(2,0,0):'s',(2,0,1):'t',(2,0,2):'u',(2,1,0):'v',(2,1,1):'w',(2,1,2):'x',(2,2,0):'y',(2,2,1):'z'}
 
# Contains the frequency of the 26 RGB buckets. 
freqDict = {}
 
# Contains the alphabet counts as key-value pairs
# Final Output
countDict = {}
# pdata[0] - element
# pdata[0][0] - frequency
# pdata[0][0][r] - color value
 
# converts the RGB space (255 values in each channel) into the normalized space (3 values in each channel => 3x3x3 = 27 buckets)
for rzero in range(0, len(im.getcolors())-1):
	#del qelement[:] #clear temporary list
	qelement = []
	for rone in range(0,3):
		if pdata[rzero][1][rone] <= 255 and pdata[rzero][1][rone] >169:
			qelement.append(2)
		elif pdata[rzero][1][rone] <= 169 and pdata[rzero][1][rone] >84:
			qelement.append(1)
		elif pdata[rzero][1][rone] <= 84:
			qelement.append(0)
	newdata.append(qelement)
 
# calculates the frequency of the 26 RGB buckets
for i in newdata:
	if ( freqDict.has_key(tuple(i))):
		freqDict[tuple(i)] += 1
	else:
		freqDict[tuple(i)] = 1
 
# constructs a key value pair of letters based on the frequency for each RGB bucket
for value in alphaDict:
		countDict[alphaDict[value]] = freqDict[value] if freqDict.has_key(value) else 0
 
# prints the output
print countDict