Пример #1
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def find_the_wires(image, seuil):
    # binarize
    binary = pink.seuil(image, seuil, 0, 255)
    inv = pink.inverse(binary)

    # eliminate the little objects
    #filtered = filter(inv, 2, 8)
    eros = pink.erosball(inv, 2)
    filtered = pink.geodilat(eros, inv, 8)

    # fill the holes
    filled = fill_the_holes(filtered)

    # detect the joints
    eros = pink.erosball(filled, 6)
    dilat = pink.dilatball(eros, 6)
    joints = pink.geodilat(dilat, filled, 8, 1)

    # extract the wires
    result = filled - joints

    return result
Пример #2
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def extract_cells(image, threshold=24):

    # creating the structuring element
    elem = pink.char_image([3, 3])
    elem.fill(1)
    elem.center = [1, 1]

    grad = pink.gradmorph(muscle, elem)
    seuil = pink.seuil(grad, threshold)
    frame = pink.frame(pink.char_image(image.size), 255)
    dilated = pink.geodilat(frame, seuil, 8)
    skeleton = pink.skeleton(dilated, 0, 8)
    inv = pink.inverse(skeleton)
    eroded = pink.erosball(inv, 5)
    inv = pink.inverse(eroded)
    skeleton2 = pink.skeleton(inv, image, 4)

    return skeleton2
Пример #3
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def filter_noise(image):
    eroded = pink.erosball(image, 1, 0)
    recons1 = pink.geodilat(eroded, image, 8, 10)
    dilated = pink.dilatball(recons1, 2, 0)
    result = pink.geoeros(dilated, recons1, 8, 10)
    return result
Пример #4
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# CeCILL free-software license

# Hugues' TP-1

from pink import Imview
from pink import cpp as pink

#ex 3.1-1
#help(pink.geoeros)

#ex 3.1-2
I = pink.readimage("../images/cells.pgm")

viewer1 = Imview(I)

eroded = pink.erosball(I, 1, 0)
viewer1.show(eroded, "eroded")  # spacebar to switch from one image to the next

#ex 3.1-3
recons1 = pink.geodilat(eroded, I, 8, 10)
viewer1.show(recons1, "recons1")
#recons1.writeimage("recons1.pgm")

#ex 3.1-4
# we start from the already partially denoised result
dilated = pink.dilatball(recons1, 1, 0)
recons2 = pink.geoeros(dilated, recons1, 8, 10)

# we save this result
#recons2.writeimage("recons2.pgm")
Пример #5
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def filter(image, radius_opening, radius_closing):
    eroded = pink.erosball(image, radius_opening)
    recons1 = pink.geodilat(eroded, image, 8)
    dilated = pink.dilatball(recons1, radius_closing)
    result = pink.geoeros(dilated, recons1, 8)
    return result
Пример #6
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from pink import imview
from pink import cpp as pink

debug = True

#sol_outils1
# extraction of thick simple objects

outils = pink.readimage("../images/outils.pgm")
skeleton = pink.skeleton(outils, 0, 8)
#pink.surimp(outils, skeleton, "skeletonized.ppm")
isolated_points = pink.ptisolated(skeleton, 8)
#pink.surimp(skeleton, isolated_points, "ptisolated.ppm")
simple_objects = pink.geodilat(isolated_points, outils, 8)
#pink.surimp(outils, dilated, "dilated.ppm")
eroded = pink.erosball(simple_objects, 10)
thick = pink.geodilat(eroded, outils, 8)
pink.surimp(outils, thick, "thick.ppm")

# sol_outils2
# extraction of thin simple objects
thin = simple_objects - thick
pink.surimp(outils, thin, "thin.ppm")

# sol_outils3
# extraction of object with more than one holes
junctions = pink.ptjunction(skeleton, 8)
holes = pink.geodilat(junctions, outils, 8)
if debug:
    imview([outils, holes])
    pink.surimp(outils, holes, "holes.ppm")
Пример #7
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def try_erosion(radius):
    return pink.erosball(IMAGE, radius)