[go: up one dir, main page]
Menu ▾ ▴

[r3]: / histogram.py  Maximize  Restore  History

Download this file

56 lines (41 with data), 1.3 kB 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
#! /usr/bin/env python

# -*- coding: utf-8 -*-



import math

from PIL import Image



NUMBEROFIMAGES = 700

NUMBEROFBINS = 512



NOOFDIVISION = int(round(pow(NUMBEROFBINS,1.0/3)))

SCALE = 256*256*256



def getbin(r,g,b):

	rp=r/(256/NOOFDIVISION)

	gp=g/(256/NOOFDIVISION)

	bp=b/(256/NOOFDIVISION)

	#print rp, gp, bp

	#color = rp*NOOFDIVISION**2+gp*NOOFDIVISION**1+bp

	#factor = SCALE/NUMBEROFBINS

	return rp*NOOFDIVISION**2+gp*NOOFDIVISION**1+bp



fout = open('histogram.txt','w')

fout.write(str(NUMBEROFIMAGES)+'\n')

fout.write(str(NUMBEROFBINS)+'\n')



print 'starting...'



for m in range(1,NUMBEROFIMAGES+1):

    print 'generating HISTOGRAM for',str(m)+'.jpg'

    fout.write(str(m)+'.jpg\n')        

    

    im = Image.open(str(m)+'.jpg')



    freq = [0 for i in range(NUMBEROFBINS)]

    

    pixels = list(im.getdata())

    width, height = im.size



    for i in pixels:

		r,g,b = i

		ind = getbin(r,g,b)

		#print ind

		freq[ind] = freq[ind]+1

    

    for i in range(NUMBEROFBINS):

        fout.write(str(freq[i]/(width*height*1.0)))

        #print freq[i]/(width*height*1.0)

        fout.write('\n')

    

    countp=0;

    for i in range(NUMBEROFBINS): countp=countp+freq[i]/(width*height*1.0)

    print countp



fout.close()

print 'Done!'