Superpixels et segmentation

Traitement d'images en Python

Rebeca Gonzalez

Data Engineer

Segmentation

Segmentation

Représentation d'image

Superpixels

Avantages des superpixels

Régions plus pertinentes
Efficacité de calcul

Segmentation

Apprentissage supervisé
Non supervisé

Segmentation non supervisée

Regroupement itératif linéaire simple (SLIC)

Segmentation non supervisée (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")

Segmentation non supervisée (SLIC)

Plus de 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)

Plus de segments

Passons à la pratique !

Traitement d'images en Python

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