Image cropping:

webdriver the Selenium Import from 
Import Time 
Import Random 
# import PIL module and Image: 
from PIL Import Image 
# import expected_conditions expected package to determine whether the correct title: 
from selenium.webdriver.support Import expected_conditions AS EC 
# import WebDriverWait 
from selenium.webdriver.support.wait WebDriverWait import 
# introduced by: 
from selenium.webdriver.common.by by import 
Driver = webdriver.Chrome () 
driver.maximize_window () 
driver.get ( "http://www.5itest.cn/register") 
# wheel is operated slide in the end part: 
# driver.execute_script ( "window.scrollTo (0, document.body.scrollHeight);") 
# save the image of the entire page with save_screenshot: 
driver.save_screenshot ( "C: / I code / selenium test automation / Selenium3 and Python3 actual Web automated testing framework /imooc.png ")
Getting the location codes # picture element ID: 
code_element = driver.find_element_by_id ( "getcode_num") 
# get the image coordinate values LOCATION: 
Print (code_element.location) # result is: { "x": 123, "y" : 345} 
# x to get the value of the left: 
left code_element.location = [ "x"] 
# get the right values of y: 
Top code_element.location = [ "y"] 
# get the picture size by the width and height: 
= code_element.size right [ "width"] + left 
height = code_element.size [ "height"] + Top 
# open Image: 
# IM = Image.open ( "C: / I code / selenium test automation / Selenium3 and Python3 actual Web automated testing framework /imooc.png ") 
# according to certain crop a picture with coordinates crop: 
# im.crop img = ((left, Top, right, height)) 
# save the image as imooc1.png: 
# img.save ( "C: / I code / selenium test automation / Selenium3 and Python3 actual Web automated testing framework /imooc1.png")
from PIL import Image
image = Image.open ( "C: / I code / selenium test automation / Selenium3 and Python3 actual Web automated testing framework /imooc.png") 
cropped_image = image.crop ((left, Top, right, height)) 
cropped_image. save ( "C: / I code / selenium test automation / Selenium3 and Python3 actual Web automated testing framework /imooc1.png") 
from PIL Import Image 
Image = Image.open ( "C: / I code / selenium test automation / Selenium3 and Python3 actual Web automated testing framework /imooc1.png").convert("L ") 
cropped_image = image.crop ((0,0,45,50)) 
cropped_image.save (" cropped_image.png ") 

# image go heteroaryl, clean interference factors: 
pixel_matrix cropped_image.load = () 
for COL in Range (0, cropped_image.height): 
    for Row in Range (0, cropped_image.width): 
        ! IF pixel_matrix [Row, COL] = 0: 
            pixel_matrix [ row, col] = 255
            image.save("thresholded_image.png")

#去除图像中的黑点：
for column in range(1,image.height - 1):
    for row in range(1,image.width - 1):
        if pixel_matrix[row,column] == 0 and pixel_matrix[row,column - 1] == 10 and pixel_matrix[row,column + 1] == 10:
            pixel_matrix[row,column] = 255
        if pixel_matrix[row,column] == 0 and pixel_matrix[row - 1,column] == 255 and pixel_matrix[row + 1,column] == 255:
            pixel_matrix[row,column] = 255