import Image as img
import os
from matplotlib import pyplot as plot
from skimage import io,transform
#Image和skimage读图片
img_file1 = img.open('./CXR_png/MCUCXR_0042_0.png')
img_file2 = io.imread('./CXR_png/MCUCXR_0042_0.png')

#读图片后数据的大小：
print "the picture's size: ", img_file1.size
print "the picture's shape: ", img_file2.shape

the picture's size:  (4892, 4020)
the picture's shape:  (4020, 4892)

#得到像素：
print(img_file1.getpixel((500,1000)), img_file2[500][1000])
print(img_file1.getpixel((500,1000)), img_file2[1000][500])
print(img_file1.getpixel((1000,500)), img_file2[500][1000])

(0, 139)
(0, 0)
(139, 139)

from skimage import io, data
img = data.chelsea()
io.imshow(img)
print(type(img))  #显示类型
print(img.shape)  #显示尺寸
print(img.shape[0])  #图片高度
print(img.shape[1])  #图片宽度
print(img.shape[2])  #图片通道数
print(img.size)   #显示总像素个数
print(img.max())  #最大像素值
print(img.min())  #最小像素值
print(img.mean()) #像素平均值
print(img[0][0])#图像的像素值

print type(img)
print img.size  #图片的尺寸
print img.mode  #图片的模式
print img.format  #图片的格式
print(img.getpixel((0,0)))#得到像素：
#img读出来的图片获得某点像素用getpixel((w,h))可以直接返回这个点三个通道的像素值

# 获取图像的灰度值范围
width = img.size[0]
height = img.size[1]