scipy图片处理(1)

from scipy import  io#保存与读写文件

import matplotlib.pyplot as plt

 

 

 

使用io.loadmat()读取数据

In [2]:

 

 

 

 

 

# io.loadmat('moon.mat',mdict={'moon':./moonlanding.png'})

# io.loadmat('./moonlanding.png')

 

 

 

读写图片使用scipy中的misc。imread（）/imsave（）

In [3]:

 

 

 

 

 

from scipy import misc

 

 

In [4]:

 

 

 

 

 

gilr=misc.imread('./cj0 (1).jpeg')

gilr

 

 

Out[4]:

array([[[204, 224, 222],
        [204, 224, 222],
        [204, 224, 222],
        ..., 
        [212, 163, 182],
        [214, 165, 184],
        [216, 167, 186]],

       [[203, 223, 221],
        [203, 223, 221],
        [204, 224, 222],
        ..., 
        [213, 164, 183],
        [215, 166, 185],
        [217, 168, 187]],

       [[203, 223, 221],
        [203, 223, 221],
        [204, 224, 222],
        ..., 
        [213, 164, 183],
        [215, 166, 185],
        [217, 168, 187]],

       ..., 
       [[227, 216, 224],
        [227, 216, 224],
        [227, 214, 223],
        ..., 
        [242, 112, 160],
        [241, 111, 159],
        [241, 111, 159]],

       [[227, 216, 224],
        [227, 216, 224],
        [227, 214, 223],
        ..., 
        [243, 113, 161],
        [243, 113, 161],
        [243, 113, 161]],

       [[227, 216, 224],
        [227, 216, 224],
        [227, 214, 223],
        ..., 
        [242, 114, 162],
        [244, 114, 162],
        [244, 114, 162]]], dtype=uint8)

In [5]:

 

 

 

 

 

# misc.imshow('./cj0 (1).jpeg')#这个方法只有在linux可以使用

 

 

In [6]:

 

 

 

 

 

import matplotlib.pyplot as plt

 

 

In [7]:

 

 

 

 

 

plt.imshow(gilr)

plt.show()

 

 

 

 

misc旋转，resize，imfilter（过滤切割图片）

In [8]:

 

 

 

 

 

g1=misc.imrotate(gilr,30)

 

 

In [9]:

 

 

 

 

 

plt.imshow(g1)

plt.show()

 

 

 

In [10]:

 

 

 

 

 

"""

size : int, float or tuple

    * int   - Percentage of current size.

    * float - Fraction of current size.

    * tuple - Size of the output image."""

g2=misc.imresize(g1,0.1)

plt.imshow(g2)

plt.show()

 

 

 

In [11]:

 

 

 

 

 

#滤波操作

'''

arr : ndarray

    The array of Image in which the filter is to be applied.

ftype : str

    The filter that has to be applied. Legal values are:

    'blur', 'contour', 'detail', 'edge_enhance', 'edge_enhance_more',

    'emboss', 'find_edges', 'smooth', 'smooth_more', 'sharpen'.'''

g3=misc.imfilter(gilr,'emboss')

plt.imshow(g3)

plt.show()

 

 

 

In [12]:

 

 

 

 

 

g3=misc.imfilter(gilr,'contour')

plt.imshow(g3)

plt.show()