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Python Pillow - Image Sequences
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Python | Crop image using pillow

Last Updated : 16 Oct, 2019
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In this article, we will learn to crop an image using pillow library. Cropping an image means to select a rectangular region inside an image and removing everything outside the rectangle. To crop an image we make use of crop() method on image objects.

Syntax : IMG.crop(box_tuple)

Parameters :
Image_path- Location of the image
IMG- Image to crop
box_tuple- [left, up, right, bottom] of the image to crop

Returns : An Image object which represents the cropped image.

Example 1:




# import Image module
from PIL import Image
  
# open the image
Image1 = Image.open('D:/cat.jpg')
  
# crop the image
croppedIm = Image1.crop((130, 120, 200, 200))
  
# show the image
croppedIm.show() 
 
 
                          
 
 
 
 
Input Image :
 
 
Output :
 
 
Example 2:
 
 
 
 
 
 
                                      
 
                                    
                                     
 
 
                                    
 
 
                                    
                                     
                                                                      
 
 
 
 
 
 
  
  
 
# import Image module 
 
from PIL import Image 
 
  
 
# open the image 
 
Image1 = Image.open('D:/cat.jpg') 
 
  
 
# crop the image 
 
croppedIm = Image1.crop((130, 50, 250, 150)) 
 
  
 
# show the image 
 
croppedIm.show() 
 
 		 
  
 
 
 
 
 
                          
 
 
                          
 
 
 
 
Input Image :
 
 
Output :
 
 

                                                                                      

                                                                                
                                          
                                                                                  
                                                                  
                              
                                
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                                          Python Pillow - Image Sequences                                      
                                  
                                                          
                          
                              
                                          
                                              
                                                  
                                                  
                                                      
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