[PYTHON/SKIMAGE] 수퍼 픽셀(Superpixel) 구하기

■ 수퍼 픽셀(Superpixel)을 구하는 방법을 보여준다.

▶ 예제 코드 (PY)


import matplotlib
import matplotlib.pyplot as pp
import skimage.color as color
import skimage.io as io
import skimage.segmentation as segmentation

matplotlib.use("TkAgg")

io.use_plugin("matplotlib")

imageNDArray = io.imread("source.png")

imageSegmentNDArray = segmentation.slic(imageNDArray, compactness = 20, n_segments = 500)

superpixelImageNDArray = color.label2rgb(imageSegmentNDArray, imageNDArray, kind="avg")

figure, axesNDArray = pp.subplots(nrows = 1, ncols = 2, sharex = True, sharey = True, figsize = (6, 8))

axesNDArray[0].imshow(imageNDArray)
axesNDArray[1].imshow(superpixelImageNDArray)

for axes in axesNDArray:
    axes.axis("off")

pp.tight_layout()

pp.show()

import matplotlib

import matplotlib.pyplot as pp

import skimage.color as color

import skimage.io as io

import skimage.segmentation as segmentation

matplotlib.use("TkAgg")

io.use_plugin("matplotlib")

imageNDArray = io.imread("source.png")

imageSegmentNDArray = segmentation.slic(imageNDArray, compactness = 20, n_segments = 500)

superpixelImageNDArray = color.label2rgb(imageSegmentNDArray, imageNDArray, kind="avg")

figure, axesNDArray = pp.subplots(nrows = 1, ncols = 2, sharex = True, sharey = True, figsize = (6, 8))

axesNDArray[0].imshow(imageNDArray)

axesNDArray[1].imshow(superpixelImageNDArray)

for axes in axesNDArray:

axes.axis("off")

pp.tight_layout()

pp.show()

source.png