python放大图片和画方格实现算法

本文实例为大家分享了python放大图片和画方格的具体代码，供大家参考，具体内容如下

1、Python 放大图片和画方格算法

#!C:/Python27
# -*- coding: utf-8 -*-  
import os  
import sys  
from PIL import Image,ImageDraw  

def make_doc_data(lf):

#li, ri = make_regalur_image(Image.open(lf)), make_regalur_image(Image.open(rf))#两张图片方法
 li = Image.open(lf)

size = (256, 256)
 #几何转变，全部转化为256*256像素大小
 li =li.resize(size).convert('RGB')

li.save(lf + '_regalur.png')#转换图片格式:img.save('file.jpg'),保存临时的

#ri.save(rf + '_regalur.png')#img对象到硬盘

fd = open('stat.csv', 'w')#stat模块是做随机变量统计的，stat用来计算随机变量的期望值和方差

#这句是关键啊，把histogram的结果进行map处理  
 #fd.write('\n'.join(l + ',' + r for l, r in zip(map(str, li.histogram()), map(str, ri.histogram()))))  
 fd.write(','.join(map(str, li.histogram())))  
 fd.close()

li = li.convert('RGB') #与save对象，这是转换格式

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')

#从始至终划线!通过把每一列刷成红色，来进行颜色的随机分布划分

#用法：pygame.draw.line(Surface, color, start_pos, end_pos, width=1)

li.save(lf + '_lines.png')  

make_doc_data('testpic/1370.bmp')

 2、放大缩小图片的几种方法

#!C:/Python27
#coding=utf-8

import pytesseract
from pytesser import *
from PIL import Image,ImageEnhance,ImageFilter
import os
import fnmatch
import re,time

import urllib, random

#修改文件名
#os.rename("E:/pythonScript/Model/font/2.bmp","E:/pythonScript/Model/font/dock2.bmp")

def CutImg():

img = Image.open('.//6907.jpg').convert('L')

print img.size

w, h = img.size

#rowheight = h // rownum
     #colwidth = w // colnum
     #imgry.show()
 j = 10
 for i in range(4):

x = 10 + i*24 #验证码的x,y坐标

y = 6  

img.crop((x-4, y,x+6, y+14)).save("pic/％d.bmp" ％ j)  

print "j=",j  

j += 1
 img.close()

infile = ('.//testpic//001n.bmp')  
outfile = ('.//testpic//001n.png')

def fixed_size(infile):

"""按照固定尺寸处理图片"""  
 im = Image.open(infile)

size = (256, 256)

im2 =im.resize(size).convert('RGB')
 out = im2.resize(size,Image.ANTIALIAS)  
 out.save(outfile)
 print u"\n按固定尺寸放大图片,处理已完成"
def resize_by_width(w_divide_h):

"""按照宽度进行所需比例缩小"""  
 im = Image.open(infile)
 print im.size

(x, y) = im.size  
 x_s = x
 print x_s
 y_s = x/w_divide_h #w_divide_h > x
 print y_s
 out = im.resize((x_s, y_s), Image.ANTIALIAS)  
 out.save(outfile)  

def resize_by_height(w_divide_h):

"""按照高度进行所需比例缩放"""  
 im = Image.open(infile)
 (x, y) = im.size
 print im.size
 x_s = y*w_divide_h  
 y_s = y  
 out = im.resize((x_s, y_s), Image.ANTIALIAS)  
 out.save(outfile,quality = 95,dpi=(72, 72))
def cut_by_ratio(width, height):  
   """按照图片长宽比进行分割"""  
   im = Image.open(infile)  
   width = float(width)  
   height = float(height)  
   (x, y) = im.size  
   if width > height:  
     region = (0, int((y-(y * (height / width)))/2), x, int((y+(y * (height / width)))/2))  
   elif width < height:  
     region = (int((x-(x * (width / height)))/2), 0, int((x+(x * (width / height)))/2), y)  
   else:  
     region = (0, 0, x, y)  

#裁切图片  
   crop_img = im.crop(region)  
   #保存裁切后的图片  
   crop_img.save(outfile)
def Lager(size):
 im = Image.open(infile)
 im_resized=im.resize(size, Image.ANTIALIAS)
 im_resized.save(outfile,quality = 95,dpi=(72, 72))
def mohuimg():
 """
 模糊图片
 """
 im = Image.open(infile)
 im2 = im.filter(ImageFilter.BLUR)
 im2.save(outfile)
"""
多种尺寸icon的存储
"""
image_size = [512,250,144,140,128,120,108,100,88,72,48,32,28]
def create_icon():
  for size in image_size:
    '''''pri_image = Image.open("icon.png")
    pri_image.thumbnail((size,size))
    image_name = "icon_％d.png"％(size)
    pri_image.save(image_name)'''
    pri_image = Image.open(infile)
    pri_image.resize((size,size),Image.ANTIALIAS ).save("testpic/icom_％d.png"％(size))  

fixed_size(infile)
#resize_by_width(10)
#resize_by_height(1)
#cut_by_ratio(50,20)
#Lager(256)  
#mohuimg()
#create_icon()
#CutImg()

来源：https://blog.csdn.net/qq_18808965/article/details/73649385