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import vigra
from vigra import graphs
# parameter:
filepath = '12003.jpg' # input image path
sigmaGradMag = 2.0 # sigma Gaussian gradient
superpixelDiameter = 10 # super-pixel size
slicWeight = 10.0 # SLIC color - spatial weight
gamma = 0.15 # exp(-gamma * edgeIndicator)
edgeThreshold = 2.5 # values higher are considered as edges
scale = 1.0 # how much smoothing
iterations = 10 # how man smoothing iterations
# load image and convert to LAB
img = vigra.impex.readImage(filepath)
res = vigra.filters.nonlinearDiffusion(img, 1.9, 20.0)
vigra.imshow(res)
vigra.show()
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