def fullBuildAlternateFilter(imIn, imOut, n, openFirst, se=mamba.DEFAULT_SE):
"""
Performs a full alternate filter operation (successive alternate filters of
increasing sizes, from 1 to 'n') on image 'imIn' and puts the result
in 'imOut'. 'n' controls the filter size. If 'openFirst' is True, the filter
begins with an opening, a closing otherwise. This operator uses the
buildOpen and buildClose operators instead of the classic open and close.
"""
mamba.copy(imIn, imOut)
for i in range(1,n+1):
if openFirst:
mamba.buildOpen(imOut, imOut, i, se=se)
mamba.buildClose(imOut, imOut, i, se=se)
else:
mamba.buildClose(imOut, imOut, i, se=se)
mamba.buildOpen(imOut, imOut, i, se=se)
def fullBuildAlternateFilter(imIn, imOut, n, openFirst, se=mamba.DEFAULT_SE):
"""
Performs a full alternate filter operation (successive alternate filters of
increasing sizes, from 1 to 'n') on image 'imIn' and puts the result
in 'imOut'. 'n' controls the filter size. If 'openFirst' is True, the filter
begins with an opening, a closing otherwise. This operator uses the
buildOpen and buildClose operators instead of the classic open and close.
"""
mamba.copy(imIn, imOut)
for i in range(1, n + 1):
if openFirst:
mamba.buildOpen(imOut, imOut, i, se=se)
mamba.buildClose(imOut, imOut, i, se=se)
else:
mamba.buildClose(imOut, imOut, i, se=se)
mamba.buildOpen(imOut, imOut, i, se=se)
d = i + 1
linearUltimateOpen(imIn, imWrk2, d, grid=grid)
mamba.generateSupMask(imWrk2, imWrk1, imWrk3, True)
mamba.logic(imWrk2, imWrk1, imWrk1, "sup")
mamba.convertByMask(imWrk3, imWrk4, 0, d)
mamba.logic(imWrk4, imOut, imOut, "sup")
# Trying these operators on a fiber image.
# Loading the initial image.
im1 = mamba.imageMb('fiber.png')
# Defining some working images.
im2 = mamba.imageMb(im1)
imbin1 = mamba.imageMb(im1, 1)
# A binary image is defined by a top-hat operator, followed by
# a thresholding and a filtering.
mamba.blackTopHat(im1, im2, 10)
mamba.threshold(im2, imbin1, 50, 255)
mamba.buildClose(imbin1, imbin1, 2)
# The directions encoding is performed.
directionalCoding(imbin1, im2)
# A palette for displaying the 6 possible directions is defined.
dirpal = (0, 0, 0, 255, 0, 0, 0, 255, 0, 0, 0, 255, 255, 255, 0, 0, 255, 255, 255, 0, 255)
for i in range(249):
dirpal = dirpal + (0, 0, 0)
# The result is saved with the palette.
im2.save('coded_directions.png', palette=dirpal)
imWrk1.reset()
for i in range(mamba.gridNeighbors(grid=grid)):
d = i + 1
linearUltimateOpen(imIn, imWrk2, d, grid=grid)
mamba.generateSupMask(imWrk2, imWrk1, imWrk3, True)
mamba.logic(imWrk2, imWrk1, imWrk1, "sup")
mamba.convertByMask(imWrk3, imWrk4, 0, d)
mamba.logic(imWrk4, imOut, imOut, "sup")
# Trying these operators on a fiber image.
# Loading the initial image.
im1 = mamba.imageMb('fiber.png')
# Defining some working images.
im2 = mamba.imageMb(im1)
imbin1 = mamba.imageMb(im1, 1)
# A binary image is defined by a top-hat operator, followed by
# a thresholding and a filtering.
mamba.blackTopHat(im1, im2, 10)
mamba.threshold(im2, imbin1, 50, 255)
mamba.buildClose(imbin1, imbin1, 2)
# The directions encoding is performed.
directionalCoding(imbin1, im2)
# A palette for displaying the 6 possible directions is defined.
dirpal = (0, 0, 0, 255, 0, 0, 0, 255, 0, 0, 0, 255, 255, 255, 0, 0, 255, 255,
255, 0, 255)
for i in range(249):
dirpal = dirpal + (0, 0, 0)
# The result is saved with the palette.
im2.save('coded_directions.png', palette=dirpal)
