Python中的库使用之一 PIL

先上代码：本文主要工给自己参考，在需要的时候直接搜索查找就行了，不想看没有实际运行例子的文档，当参考完这部分还哦未能解决问题在参考PIL的相关文档！

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 Branch: master Find file Copy pathPythonImageProcessing/ImagePython.py
 61e7cd2  35 minutes ago
 @mm1994uestc mm1994uestc -a
 1 contributor
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 129 lines (127 sloc)  4.88 KB
 import Image as Im
 import ImageFilter as ImFilter
 import ImageChops as ImChops
 import ImageFont as ImFont
 import ImageDraw as ImDraw
 import math
 import sys
 import os

 print 'This File is for you to Transform the Original Pic into another Form!'
 im = Im.open('/home/ubuntu-mm/Python/ImageProcess/ImageData/IEEEXtreme.png') #Read the Image
 w, h = im.size
 def RGB2Gray(image):
     w, h = image.size
     print 'The Wide is :',w
     print 'The Length is :',h
 RGB2Gray(im)
 def ImRoll(image, Theta):
     "Roll a image sideways"
     w, h = image.size
     Theta = Theta % w
     if Theta == 0:
         return image
     Part1 = image.crop((0, 0, Theta, h))
     Part2 = image.crop((Theta, 0, w, h))
     image.paste(Part2, (0, 0, w-Theta, h))
     image.paste(Part1, (w-Theta, 0, w, h))
     return image
 Param = 0.5
 NewSize = ((int)(w*Param), (int)(h*Param))  #Notice the size must be a integer!
 Scaler = Im.ANTIALIAS
 im_roll = ImRoll(im, 90)  #roll the pic
 im_resize = im.resize(NewSize, Scaler)  #resize the pic to be 25% Origin'area
 im_rotate = im.rotate(45)  #rotate the pic for degree at 45
 print 'Now,The geomgraphic transform!@ImRoll() @resize() @rotate()'
 #im.show()  #show():To output the Picture to the windows
 #im_roll.show()
 #im_resize.show()
 #im_rotate.show()
 print 'Now,The Filter Transform!@filter()'
 im_filter = im.filter(ImFilter.DETAIL)  #filter is to change the values of pixel
 #im_filter.show()
 im_new = Im.new('L', (100,100), [0,255])
 #im_new.show()
 im2 = Im.open('/home/ubuntu-mm/Python/ImageProcess/ImageData/GitHub.png')
 im3 = im2.rotate(45) #Rotate the im2 with the degree at 45
 im_blend = Im.blend(im2, im3, 0.2)  #The im and im1 must be the same size(im_blend=im2*0.2+im3*(1-0.2))
 #im_blend.show()
 mask = Im.new('L', im2.size, [0,255])
 im4 = Im.composite(im2, im3 ,mask) #Composite two pic into one and filter with the mask windows.
 #im4.show()
 def ImageTransform(In):
     Res = pow(In,2)/255
     return Res
 print 'Attributes of the Image object!'
 print im2.format,im2.mode,im2.size,im2.palette,im2.info
 im4.save('/home/ubuntu-mm/Python/ImageProcess/ImageData/login.png','png')
 im6 = im2.convert("L") #Change the pic into different Mode:@"L"@"l"@"RGB"@"CMYK"
 #im6.show()
 im7 = im2.copy() #Copy the image file to a new buffer
 im8 = im2.crop((0,0,80,80))
 #im8.show()
 Bands = im2.getbands() #Get The bands of the Pic
 print Bands
 for i in Bands:
     print i
 Extreme = im2.getextrema() #Get Max_values and Min_values of pic(GrayScale)
 for i in Extreme:
     print i
 PixelValues = im2.getpixel((0,0)) #Get to values of the coordinate you input(0,0)
 print 'The pixelValues of point(0,0) is:',PixelValues
 w, h = im2.size #Get the size of the pic
 mask = Im.new('L',(w,h),[0,255]) #To create a new mask
 list1 = im2.convert("L").histogram(mask) #To show the histogram with the statical number of the GrayScale Values where the mask is nonzero replect
 print list1
 im9 = ImChops.offset(im2 , -10, -10) #To move the pic with the offset produce a new pic
 #im9.show()
 im10 = im2.point(ImageTransform) #To transform every Pixel's values with func ImageTranform which defined before
 #im10.show() #show out the image
 im2.putpixel((10,10),(0,0,0)) #Location:(10,10) pixel's color value into (0,0,0)
 im2.show()
 im11 = im2.resize((80,80))  #To resize The picture into newsize (80,80)
 #im11.show()
 R,G,B = im11.split()  #To split the im11's three channel in to RGB linear bands
 print R
 im12 = im2.copy()
 im12.thumbnail((80,60)) #To resize the Pic as the rate->Height:Width
 #For eg:im.size()=(400,150) It's after im.thumbnail((40,40)) will be (40,15)
 #im12.show()
 Method = Im.ROTATE_90 #@Im.FLIP_RIGHT_LEFT@Im.FLIP_TOP_BOTTOM@Im.ROTATE_90@Im.ROTATE_180
 im13 = im2.copy()
 im13.transpose(Method) #To transform the pic as the Method show
 #im13.show()
 print 'Now,Let draw what we want!'
 Cavon1 = Im.new('RGB',(300,300),(255,255,255))
 draw = ImDraw.Draw(Cavon1)
 draw.arc((0,0,202,202), 0, 135, (0,255,0))
 draw.arc((0,0,205,205), 0, 135, (255,0,0))
 draw.arc((0,0,208,208), 0, 135, (0,0,255))
 draw.arc((0,0,211,211), 0, 135, (255,255,0))
 draw.arc((0,0,212,212), 0, 135, (255,0,255))
 #Cavon2 = Im.new('RGB',(200,300),(255,255,255))
 draw.ellipse((0,0,30,40),(0,255,0))
 draw.ellipse((20,20,40,30),(255,125,30))
 draw.line(((60,60),(90,60),(90,90),(60,90),(60,60)),(255,0,0))
 draw.point((100,100),(255,0,255))
 draw.polygon([(60,60),(90,60),(90,90),(60,90)],fill="red",outline="green")
 #fontPath = "/usr/share/fonts/dejavu-lgc/DejaVuLGCSansCondensed-Bold.ttf"
 #sans16 = ImFont.truetype(fontPath,16)
 draw.text((130,80),"Hello PIL!",fill="red")
 Cavon1.show()
 print 'Image Filter!'
 im_filter1 = im2.filter(ImFilter.BLUR)
 im_filter2 = im2.filter(ImFilter.CONTOUR)
 im_filter3 = im2.filter(ImFilter.DETAIL)
 im_filter4 = im2.filter(ImFilter.EDGE_ENHANCE)
 im_filter5 = im2.filter(ImFilter.EDGE_ENHANCE_MORE)
 im_filter6 = im2.filter(ImFilter.FIND_EDGES)
 im_filter7 = im2.filter(ImFilter.SMOOTH)
 im_filter8 = im2.filter(ImFilter.SHARPEN)
 im_filter1.show()
 im_filter2.show()
 im_filter3.show()
 im_filter4.show()
 im_filter5.show()
 im_filter6.show()
 im_filter7.show()
 im_filter8.show()
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程序里面使用的数据和图片都在我的github源码中，请参照mm1994uestc--》https://github.com/mm1994uestc/PythonImageProcessing/blob/master/ImagePython.py

PIL库的下载Python Imaging Library (PIL)--》http://www.pythonware.com/products/pil/index.htm

详细的PIL教程参照Python PIL hand--》http://effbot.org/imagingbook/pil-index.htm

也可以参考这个网站--》http://effbot.org/imagingbook/

如有错误，还请多多指教！