本文实例讲述了python实现根据图标提取分类应用程序，分享给大家供大家参考。
具体方法如下：
#!/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’)
希望本文所述对大家的python程序设计有所帮助。