Python画像処理入門

plt.gray() # これをつけないと,1バンドカラー画像になってしまう。
plt.imshow(img)
plt.show

import PIL
from PIL import Image
import numpy as np
import sys, os
file = '2017_0617_1505_14976795.JPG'

img = Image.open(file, 'r')

r, g, b = img.split()

rgb_img = Image.merge("RGB", (r,b,g))
rgb_img.save(file[:-4] + "chRGB_rbg.JPG", 'JPEG')

rgb_img = Image.merge("RGB", (g,r,b))
rgb_img.save(file[:-4] + "chRGB_grb.JPG", 'JPEG')

rgb_img = Image.merge("RGB", (g,b,r))
rgb_img.save(file[:-4] + "chRGB_gbr.JPG", 'JPEG')

rgb_img = Image.merge("RGB", (b,r,g))
rgb_img.save(file[:-4] + "chRGB_brg.JPG", 'JPEG')

rgb_img = Image.merge("RGB", (b,g,r))
rgb_img.save(file[:-4] + "chRGB_bgr.JPG", 'JPEG')

1. 画像を表現するクラスをロード

import PIL
from PIL import Image
import numpy as np
import sys, os
file = '2017_0617_1505_14976795.JPG'

img = Image.open(file, 'r')
gray_img = img.convert('L')
gray_img.save(file[:-4] + "gray.JPG", 'JPEG')

1. ---↓ for changin whole dir↓ ---
2. files = os.listdir('pic_all_resize')
3. os.chdir("./pic_all_resize")
4. for fil in files:
5. img = Image.open(fil, 'r')
6. gray_img = img.convert('L')
7. gray_img.save(fil[:-4] + "resize_gray.jpg", 'JPEG')

from PIL import Image
import sys, os

hoge = Image.open("2017_0617_1505_14976795.JPG").resize((50,50))
hoge.save("resize.jpg")

1. resize と 解像度を落とすのは違う。
2. -----↓ 以下はresizeです↓ -----
3. file = '2017_0617_1505_14976795.JPG'
4. img = Image.open(file, 'r')
5. width, height = img.size
6. width_2 = width/10
7. height_2 = height/10
8. img.thumbnail((width_2, height_2))
9. img.save(file[:-4] + "_LowRes.JPG", 'JPEG')

from PIL import Image
import sys, os

hoge = Image.open("2017_0617_1505_14976795.JPG").resize((50,50))
hoge.save("resize.jpg")

1. resize と 解像度を落とすのは違う。
2. -----↓ 以下はresizeです↓ -----
3. file = '2017_0617_1505_14976795.JPG'
4. img = Image.open(file, 'r')
5. width, height = img.size
6. width_2 = width/10
7. height_2 = height/10
8. img.thumbnail((width_2, height_2))
9. img.save(file[:-4] + "_LowRes.JPG", 'JPEG')
10. coding: utf-8
11. This is used here in ./pic_all
12. ------------------------------------------

from PIL import Image

file = '2017_0617_1505_14976795.JPG'
img = Image.open(file, 'r')
size = min(img.size)
width, height = img.size
top = 0
bottom = size
left = (width - size) / 2
right = left + size
box = (left, top, right, bottom)
img = img.crop(box)
img.thumbnail((100, 100))
img.save(file[:-4] + "_resize.JPG", 'JPEG')

1. img = Image.open('files[len(files)]', 'r')
2. import sys, os
3. sys.path.append(os.pardir)
4. files = os.listdir('pic_all')
5. os.chdir("./pic_all")
6. for fil in files:
7. img = Image.open(fil, 'r')
8. resize_img = img.resize((28, 28))#tupleにより指定
9. resize_img.save(fil[:-4] + "resize.jpg", 'JPEG')#リサイズ後の画像を保存
10. img = Image.open('files[len(files)]', 'r') #読み込み
11. coding: utf-8
12. This is used here in ./pic_all
13. ------------------------------------------

from PIL import Image

file = '2017_0617_1505_14976795.JPG'
img = Image.open(file, 'r')
resize_img = img.resize((100, 100))
resize_img.save(file[:-4] + "_resize.JPG", 'JPEG')
 

1. img = Image.open('files[len(files)]', 'r')
2. import sys, os
3. sys.path.append(os.pardir)
4. files = os.listdir('pic_all')
5. os.chdir("./pic_all")
6. for fil in files:
7. img = Image.open(fil, 'r')
8. resize_img = img.resize((28, 28))#tupleにより指定
9. resize_img.save(fil[:-4] + "resize.jpg", 'JPEG')#リサイズ後の画像を保存
10. img = Image.open('files[len(files)]', 'r') #読み込み

import numpy as np
import PIL
from PIL import Image
from os import listdir
import sys, os

def rm_noise(x, sizex, sizey):
   for s in range(sizey):
       for t in range(sizex):
           #if x[s, t] == 0:
           if imgc[s, t, 0] == 0 and imgc[s, t, 1] == 0 and imgc[s, t, 2] == 0:
               x[s, t, 0]=255
               x[s, t, 1]=255
               x[s, t, 2]=255
   return(x) 


file = '2017_0617_1505_14976795.JPG'

imga = Image.open(file, 'r')
for i in range(30, 360, 30):
   imgb = imga.rotate(i)
   sizex = imgb.size[0]
   sizey = imgb.size[1]
   imgc = np.asarray(imgb)
   imgc.flags.writeable = True
   imgd = rm_noise(imgc, sizex ,sizey)
   imge = Image.fromarray(np.uint8(imgd))
   imge.save(file[:-4] + "_rotate" + str(i) + ".JPG", "JPEG")