Superpixels & segmentation

Image Processing in Python

Rebeca Gonzalez

Data Engineer

Segmentation

Segmentation

Image representation

Superpixels

Benefits of superpixels

More meaningful regions
Computational efficiency

Segmentation

Supervised
Unsupervised

Unsupervised segmentation

Simple Linear Iterative Clustering (SLIC)

Unsupervised segmentation (SLIC)

# Import the modules
from skimage.segmentation import slic
from skimage.color import label2rgb


# Obtain the segments
segments = slic(image)


# Put segments on top of original image to compare
segmented_image = label2rgb(segments, image, kind='avg')


show_image(image)
show_image(segmented_image, "Segmented image")

Unsupervised segmentation (SLIC)

More segments

# Import the modules
from skimage.segmentation import slic
from skimage.color import label2rgb


# Obtain the segmentation with 300 regions
segments = slic(image, n_segments= 300)

# Put segments on top of original image to compare
segmented_image = label2rgb(segments, image, kind='avg')


show_image(segmented_image)

More segments

Let's practice!

Image Processing in Python

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