opticalsegmentation.py

from PIL import Image
import os
sliceHeight=100
sliceWidth=100
outdir='/home/user/Desktop/mouli/difmodel/segop'
out_name='op'
img = Image.open('optical.jpg') # Load image
pix=img.load()

#print(pix[0,3])
imageWidth, imageHeight = img.size # Get image dimensions
left = 0 # Set the left-most edge
upper = 0 # Set the top-most edge
while (left < imageWidth):
    while (upper < imageHeight):
        # If the bottom and right of the cropping box overruns the image.
        if (upper + sliceHeight > imageHeight and \
        left + sliceWidth > imageWidth):
            bbox = (left, upper, imageWidth, imageHeight)
        # If the right of the cropping box overruns the image
        elif (left + sliceWidth > imageWidth):
            bbox = (left, upper, imageWidth, upper + sliceHeight)
        # If the bottom of the cropping box overruns the image
        elif (upper + sliceHeight > imageHeight):
            bbox = (left, upper, left + sliceWidth, imageHeight)
        # If the entire cropping box is inside the image,
        # proceed normally.
        else:
            bbox = (left, upper, left + sliceWidth, upper + sliceHeight)
        working_slice = img.crop(bbox) # Crop image based on created bounds
        # Save your new cropped image.
        working_slice.save(os.path.join(outdir, 'slice_' + out_name + \
        '_' + str(upper) + '_' + str(left) + '.jpg'))
        upper += sliceHeight # Increment the horizontal position
    left += sliceWidth # Increment the vertical position
    upper = 0

"""
 pixel value of black region == (0, 0, 0, 255)
 pixel value of blue region ==  (39, 39, 244, 255)
 pixel value of green region == (10, 104, 10, 255)
"""