python数字图像处理之图像的批量处理

import skimage.io as io
from skimage import data_dir
str=data_dir + '/*.png'
coll = io.ImageCollection(str)
print(len(coll))

io.imshow(coll[10])

import skimage.io as io
from skimage import data_dir
str='d:/pic/*.jpg:d:/pic/*.png'
coll = io.ImageCollection(str)
print(len(coll))

from skimage import data_dir,io,color
def convert_gray(f):
    rgb=io.imread(f)
    return color.rgb2gray(rgb)
str=data_dir+'/*.png'
coll = io.ImageCollection(str,load_func=convert_gray)
io.imshow(coll[10])

from skimage import data_dir,io,color
class AVILoader:
    video_file = 'myvideo.avi'
    def __call__(self, frame):
        return video_read(self.video_file, frame)
avi_load = AVILoader()
frames = range(0, 1000, 10) # 0, 10, 20, ...
ic =io.ImageCollection(frames, load_func=avi_load)

from skimage import data_dir,io,color
coll = io.ImageCollection('d:/pic/*.jpg')
mat=io.concatenate_images(coll)

from skimage import data_dir,io,color
coll = io.ImageCollection('d:/pic/*.jpg')
print(len(coll))      #连接的图片数量
print(coll[0].shape)   #连接前的图片尺寸，所有的都一样
mat=io.concatenate_images(coll)
print(mat.shape)  #连接后的数组尺寸

from skimage import data_dir,io,transform,color
import numpy as np
def convert_gray(f):
     rgb=io.imread(f)    #依次读取rgb图片
     gray=color.rgb2gray(rgb)   #将rgb图片转换成灰度图
     dst=transform.resize(gray,(256,256))  #将灰度图片大小转换为256*256
     return dst
str=data_dir+'/*.png'
coll = io.ImageCollection(str,load_func=convert_gray)
for i in range(len(coll)):
    io.imsave('d:/data/'+np.str(i)+'.jpg',coll[i])  #循环保存图片