本文實例講述了python實現根據圖標提取分類應用程序，分享給大家供大家參考。

具體方法如下：

#!/usr/bin/python

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

import Image

import win32ui

import win32gui

def make_regalur_image(img, size = (256, 256)):

return img.resize(size).convert(‘RGB‘)

def split_image(img, part_size = (64, 64)):

w, h = img.size

pw, ph = part_size

assert w % pw == h % ph == 0

return [img.crop((i, j, i+pw, j+ph)).copy() for i in xrange(0, w, pw) for j in xrange(0, h, ph)]

def hist_similar(lh, rh):

assert len(lh) == len(rh)

return sum(1 - (0 if l == r else float(abs(l - r))/max(l, r)) for l, r in zip(lh, rh))/len(lh)

def calc_similar(li, ri):

# return hist_similar(li.histogram(), ri.histogram())

return sum(hist_similar(l.histogram(), r.histogram()) for l, r in zip(split_image(li), split_image(ri))) / 16.0

def calc_similar_by_path(lf, rf):

li, ri = make_regalur_image(Image.open(lf)), make_regalur_image(Image.open(rf))

return calc_similar(li, ri)

def make_doc_data(lf, rf):

li, ri = make_regalur_image(Image.open(lf)), make_regalur_image(Image.open(rf))

li.save(lf + ‘_regalur.png‘)

ri.save(rf + ‘_regalur.png‘)

fd = open(‘stat.csv‘, ‘w‘)

fd.write(‘\n‘.join(l + ‘,‘ + r for l, r in zip(map(str, li.histogram()), map(str, ri.histogram()))))

# print >>fd, ‘\n‘

# fd.write(‘,‘.join(map(str, ri.histogram())))

fd.close()

import ImageDraw

li = li.convert(‘RGB‘)

draw = ImageDraw.Draw(li)

for i in xrange(0, 256, 64):

draw.line((0, i, 256, i), fill = ‘#ff0000‘)

draw.line((i, 0, i, 256), fill = ‘#ff0000‘)

li.save(lf + ‘_lines.png‘)

def getIcon(filename):

large, small = win32gui.ExtractIconEx(filename,0)#

win32gui.DestroyIcon(small[0])

hdc = win32ui.CreateDCFromHandle( win32gui.GetDC(0) )

hbmp = win32ui.CreateBitmap()

hbmp.CreateCompatibleBitmap( hdc, 32, 32 )

hdc = hdc.CreateCompatibleDC()

hdc.SelectObject( hbmp )

hdc.DrawIcon( (0,0), large[0] )

hbmp.SaveBitmapFile( hdc, "save.bmp" )

if __name__ == ‘__main__‘:

#path = r‘test/TEST%d/%d.JPG‘

for i in range(1,4):

getIcon(r‘test/TEST1/%d.exe‘ % i)

print ‘RESULT:%d‘ % (calc_similar_by_path(‘save.bmp‘,r"test/TEST1/backup.bmp")*100)

#for i in xrange(1, 7):

#print ‘test_case_%d: %.3f%%‘%(i, \

#calc_similar_by_path(‘test/TEST%d/%d.JPG‘%(i, 1), ‘test/TEST%d/%d.JPG‘%(i, 2))*100)

# make_doc_data(‘test/TEST4/1.JPG‘, ‘test/TEST4/2.JPG‘)

希望本文所述對大家的Python程序設計有所幫助。

原文：http://www.jb51.net/article/55742.htm

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