Python 处理图片像素点的实例

from PIL import Imageimport itertoolsimg = Image.open('C:/img.jpg').convert('L') #打开图片,convert图像类型有L,RGBA# 转化为黑白图def blackWrite(img): blackXY = [] # 遍历像素点 for x in range(img.size[0]):  for y in range(img.size[1]):   print img.getpixel((x,y))   if img.getpixel((x,y))<128:    img.putpixel((x,y),0) # 置为黑点    blackXY.append((x,y))   else:    img.putpixel((x,y),255) # 置为白点 return blackXY# 去除干扰点def clrImg(img,pointArr): # 获取周围黑点的个数 def getN(p):  count = 0  x = [p[0]-1,p[0],p[0]+1]  y = [p[1]-1,p[1],p[1]+1]  for i in itertools.product(x,y): # 笛卡尔积   try:    if img.getpixel(i) == 0:     count +=1   except:    print 'out of'    continue  print count  return count for p in pointArr:  if getN(p)<5: # 周围黑点个数 <5 的黑点认为是干扰点,置为白点   img.putpixel(p,255)   pointArr = blackWrite(img)clrImg(img,pointArr)img.save("C:/img_1.jpg")