How to generate and save color image result

[wwjd1234]

The README does not include code example of how to generate and save the color result with the superpixles overlayed on the fish image. How can this be done?

[oconnor127]

to show the image with the overlayed regions, try something like:

from skimage.segmentation import mark_boundaries from PIL import Image import matplotlib.pyplot as plt fig = plt.figure() ax = fig.add_subplot(1, 1, 1) ax.set_title("Superpixels -- %d segments" % (160)) ax.imshow(mark_boundaries(image, assignment)) plt.axis("off") plt.show()

You can save it right there via the opened window

[ramchandracheke]

Hi,

Thanks for this superfast library. Its really fast. I have implemented it and I am trying to save this image. Therefore, I have converted image into RGB space using color.label2rgb. However, its very slow. Can you please guide how to save this super pixel image. Thanks in advance!

Kind regards,
Ram

import time
start_time = time.time()
with Image.open("C:\Users\003.bmp") as f:
image = np.array(f)
print("--- %s Time to read image ---" % (time.time() - start_time))

slic = SlicAvx2(num_components=500, compactness=10)
assignment = slic.iterate(image) # Cluster Map
print("--- %s Time to SuperPixel ---" % (time.time() - start_time))

Save Image

sample123 =color.label2rgb(assignment, image, kind='avg',bg_label = -1)
print("--- %s Time to Convert ---" % (time.time() - start_time))

io.imsave('test_16bit.png', sample123)
print("--- %s Time to Save Image ---" % (time.time() - start_time))

0.029166 | Time | to | read image |
0.141835 | Time | to | SuperPixel |
5.759102 | Time | to | Convert |  
6.418611 | Time | to | Save Image |