Python模块_PyLibTiff读取tif文件的实例

Usage example (libtiff wrapper)

from libtiff import TIFF
# to open a tiff file for reading:
tif = TIFF.open('filename.tif', mode='r')
# to read an image in the currect TIFF directory and return it as numpy array:
image = tif.read_image()
# to read all images in a TIFF file:
for image in tif.iter_images(): # do stuff with image
# to open a tiff file for writing:
tif = TIFF.open('filename.tif', mode='w')
# to write a image to tiff file
tif.write_image(image)

Usage example (pure Python module)

from libtiff import TIFFfile, TIFFimage
# to open a tiff file for reading
tif = TIFFfile('filename.tif')
# to return memmaps of images and sample names (eg channel names, SamplesPerPixel>=1)
samples, sample_names = tiff.get_samples()
# to create a tiff structure from image data
tiff = TIFFimage(data, description='')
# to write tiff structure to file
tiff.write_file('filename.tif', compression='none') # or 'lzw'
del tiff # flushes data to disk

from libtiff import TIFF
from scipy import misc 
##tiff文件解析成图像序列
##tiff_image_name: tiff文件名；
##out_folder：保存图像序列的文件夹
##out_type：保存图像的类型，如.jpg、.png、.bmp等
def tiff_to_image_array(tiff_image_name, out_folder, out_type):  
  tif = TIFF.open(tiff_image_name, mode = "r")
  idx = 0
  for im in list(tif.iter_images()):
    #
    im_name = out_folder + str(idx) + out_type
    misc.imsave(im_name, im)
    print im_name, 'successfully saved!!!'
    idx = idx + 1
  return 
##图像序列保存成tiff文件
##image_dir：图像序列所在文件夹
##file_name：要保存的tiff文件名
##image_type:图像序列的类型
##image_num:要保存的图像数目
def image_array_to_tiff(image_dir, file_name, image_type, image_num): 
  out_tiff = TIFF.open(file_name, mode = 'w') 
  #这里假定图像名按序号排列
  for i in range(0, image_num):
    image_name = image_dir + str(i) + image_type
    image_array = Image.open(image_name)
    #缩放成统一尺寸
    img = image_array.resize((480, 480), Image.ANTIALIAS)
    out_tiff.write_image(img, compression = None, write_rgb = True) 
  out_tiff.close()
  return  

用opencv读取

import cv2
cv2.imread("filename",flags)

对于cv2，imread的关于通道数和位深的flags有四种选择：
IMREAD_UNCHANGED = -1#不进行转化，比如保存为了16位的图片，读取出来仍然为16位。
IMREAD_GRAYSCALE = 0#进行转化为灰度图，比如保存为了16位的图片，读取出来为8位，类型为CV_8UC1。
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