python 图像数据

news2024/12/25 9:12:38

//***********************安装库***********************//
pip install pillow //安装Pillow库，Image类是Pillow库中的类

pip install numpy //安装numpy库，numpy是数值计算扩展库

pip install matplotlib

import numpy as np
from PIL import Image

img1 = Image.open('./001.jpg')
img1.show()

arr_img1 = np.array(img1)
print(type(arr_img1))
print(arr_img1.shape)
print(arr_img1)


for i in range(100,110):
    for j in range(100,150):
        arr_img1[i][j][0] = 255
        arr_img1[i][j][1] = 0
        arr_img1[i][j][2] = 0

for i in range(200,210):
    for j in range(200,250):
        arr_img1[i][j][0] = 255
        arr_img1[i][j][1] = 255
        arr_img1[i][j][2] = 0

for i in range(300,310):
    for j in range(300,350):
        arr_img1[i][j][0] = 0
        arr_img1[i][j][1] = 0
        arr_img1[i][j][2] = 255

arr_img1 = arr_img1.astype(np.uint8)
print(type(arr_img1))

img2 = Image.fromarray(arr_img1)
img2.show()

import numpy as np
from PIL import Image

arr_img2 = np.zeros((300,300,3))

for i in range(100):
    for j in range(300):
        arr_img2[i][j][0] = 255
        arr_img2[i][j][1] = 0
        arr_img2[i][j][2] = 0

for i in range(100,200):
    for j in range(300):
        arr_img2[i][j][0] = 255
        arr_img2[i][j][1] = 255
        arr_img2[i][j][2] = 0

for i in range(200,300):
    for j in range(300):
        arr_img2[i][j][0] = 0
        arr_img2[i][j][1] = 0
        arr_img2[i][j][2] = 255

arr_img2 = arr_img2.astype(np.uint8)

img2 = Image.fromarray(arr_img2)
img2.show()

import numpy as np
from PIL import Image
from PIL import ImageFilter

img1 = Image.open('./001.jpg').convert('L')
img1.show()

region = (100,100,600,400)
img2 = img1.crop(region)
img2.show()

img3 = img2.rotate(180)
img3.show()

img4 = img3.filter(ImageFilter.CONTOUR)
img4.show()

import numpy as np
from PIL import Image
from PIL import ImageFilter

img1 = Image.open('./001.jpg')

img2 = img1.filter(ImageFilter.FIND_EDGES)
img2.show()

img3 = img1.filter(ImageFilter.EMBOSS)
img3.show()

import numpy as np
from PIL import Image
from PIL import ImageFilter
from pylab import *

img1 = Image.open('./001.jpg')
imshow(img1)

x = [200,200,500,500,200]
y = [100,400,400,100,100]
plot(x[:4],y[:4],'r*')
plot(x[:5],y[:5],'y--')

title("001.jpg")
show()