Reputation: 63
I want to analyse a specific part of an image, as an example I'd like to focus on the bottom right 200x200 section and count all the black pixels, so far I have:
im1 = Image.open(path)
rgb_im1 = im1.convert('RGB')
for pixel in rgb_im1.getdata():
Upvotes: 2
Views: 575
Reputation: 207385
Whilst you could do this with cropping and a pair of for
loops, that is really slow and not ideal.
I would suggest you use Numpy as it is very commonly available, very powerful and very fast.
Here's a 400x300 black rectangle with a 1-pixel red border:
#!/usr/bin/env python3
import numpy as np
from PIL import Image
# Open the image and make into Numpy array
im = Image.open('image.png')
ni = np.array(im)
# Declare an ROI - Region of Interest as the bottom-right 200x200 pixels
# This is called "Numpy slicing" and is near-instantaneous https://www.tutorialspoint.com/numpy/numpy_indexing_and_slicing.htm
ROI = ni[-200:,-200:]
# Calculate total area of ROI and subtract non-zero pixels to get number of zero pixels
# Numpy.count_nonzero() is highly optimised and extremely fast
black = 200*200 - np.count_nonzero(ROI)
print(f'Black pixel total: {black}')
Sample Output
Black pixel total: 39601
Yes, you can make it shorter, for example:
h, w = 200,200
im = np.array(Image.open('image.png'))
black = h*w - np.count_nonzero(ni[-h:,-w:])
If you want to debug it, you can take the ROI and make it into a PIL Image which you can then display. So just use this line anywhere after you make the ROI:
# Display image to check
Image.fromarray(ROI).show()
Upvotes: 1
Reputation: 1848
from PIL import Image
img = Image.open("ImageName.jpg")
crop_area = (a,b,c,d)
cropped_img = img.crop(crop_area)
Upvotes: 0
Reputation: 1850
You can try cropping the Image to the specific part that you want:-
img = Image.open(r"Image_location")
x,y = img.size
img = img.crop((x-200, y-200, x, y))
The above code takes an input image, and crops it to its bottom right 200x200 pixels. (make sure the image dimensions are more then 200x200, otherwise an error will occur)
Original Image:-
Image after Cropping:-
You can then use this cropped image, to count the number of black pixels, where it depends on your use case what you consider as a BLACK pixel (a discrete value like (0, 0, 0) or a range/threshold (0-15, 0-15, 0-15)).
P.S.:- The final Image will always have a dimension of 200x200 pixels.
Upvotes: 1