Average colour of slic superpixel

Question

I want to segment an image using slic superpixels and then replace the original colour of a superpixel with the average colour of said superpixel.

import numpy as np
import matplotlib.pyplot as plt
from skimage import io
from skimage.segmentation import slic, mark_boundaries
from skimage.data import astronaut
from skimage.measure import regionprops

img = astronaut()
segments = slic(img, n_segments=512, compactness=10,
            multichannel=True,
            enforce_connectivity=True,
            convert2lab=True)
regions = regionprops(segments, intensity_image=img)

I get the errorValueError: Label and intensity image must have thesame shape. Segments shape is (512,512) and img shape in (512,512,3). What is the correct use of regionprops in my case?

Answer 1

I followed the first recommendation of the accepted answer. Working version of my code :

import matplotlib.pyplot as plt
from skimage.segmentation import slic
from skimage.data import astronaut
from skimage.measure import regionprops

def paint_region_with_avg_intensity(rp, mi, channel):
    for i in range(rp.shape[0]):
        img[rp[i][0]][rp[i][1]][channel] = mi

img = astronaut()
segments = slic(img, n_segments=512, compactness=10,
            multichannel=True,
            enforce_connectivity=True,
            convert2lab=True)

for i in range(3):
    regions = regionprops(segments, intensity_image=img[:,:,i])
    for r in regions:
        paint_region_with_avg_intensity(r.coords, int(r.mean_intensity), i)

plt.imshow(img)
plt.show()