self.t = t
self.d = d
self.numEdgeIter = numEdgeIter
self.boxSize = boxSize
self.trim = trim
def __call__(self, image):
connect.makeConnected(image, self.a, self.b, self.n, self.t, self.d,
self.numEdgeIter, self.boxSize, self.trim)
registeredclass.Registration(
'Connect',
imagemodifier.ImageModifier,
ConnectModifier,
ordering=20.,
params=[
parameter.FloatParameter('a', 5.0, tip='Gabor filter width'),
parameter.FloatParameter('b', 7.0, tip='Gabor filter depth'),
parameter.IntParameter('n', 6, tip='Number of orientations'),
parameter.IntParameter('t', 27, tip='Thresholding cutoff'),
parameter.UbtParameter(
'd', 9, tip='Diameter of structuring element for closing'),
parameter.IntParameter('numEdgeIter',
9,
tip='Number of iterations for edge-linking'),
parameter.IntParameter('boxSize', 10, tip='Line connection box'),
parameter.BooleanParameter('trim', 1, tip='Trim')
],
tip='Connects the lines')
from image import imagemodifier
from common import registeredclass
from common.IO import parameter
from SWIG.image.imagemanip import bw
class BWModifier(imagemodifier.ImageModifier):
def __init__(self, a, b, n, t):
self.a = a
self.b = b
self.n = n
self.t = t
def __call__(self, image):
bw.makeBW(image, self.a, self.b, self.n, self.t)
registeredclass.Registration(
'BlackAndWhite',
imagemodifier.ImageModifier,
BWModifier,
ordering=20.,
params=[
parameter.FloatParameter('a', 3.0, tip='Gabor filter width'),
parameter.FloatParameter('b', 5.0, tip='Gabor filter depth'),
parameter.IntParameter('n', 6, tip='Number of orientations'),
parameter.IntParameter('t', 40, tip='Threshold level for the image'),
],
tip='Converts the image to black and white (binary)')
from common.IO import parameter
from SWIG.image.imagemanip import close
class CloseModifier(imagemodifier.ImageModifier):
def __init__(self, a, b, n, t, d):
self.a = a
self.b = b
self.n = n
self.t = t
self.d = d
def __call__(self, image):
close.makeClosed(image, self.a, self.b, self.n, self.t, self.d)
registeredclass.Registration(
'Close',
imagemodifier.ImageModifier,
CloseModifier,
ordering=20.,
params=[
parameter.FloatParameter('a', 3.0, tip='Gabor filter width'),
parameter.FloatParameter('b', 5.0, tip='Gabor filter depth'),
parameter.IntParameter('n', 6, tip='Number of orientations'),
parameter.IntParameter('t', 40, tip='Thresholding cutoff'),
parameter.IntParameter(
'd', 9, tip='Diameter of structuring element for closing')
],
tip='Gabor filter with line closing')
from image import imagemodifier
from common import registeredclass
from common.IO import parameter
from SWIG.image.imagemanip import gabor
class GaborModifier(imagemodifier.ImageModifier):
def __init__(self, a, b, n):
self.a = a
self.b = b
self.n = n
def __call__(self, image):
gabor.makeGabor(image, self.a, self.b, self.n)
registeredclass.Registration(
'Gabor',
imagemodifier.ImageModifier,
GaborModifier,
ordering=20.,
params=[
parameter.FloatParameter('a', 3.0, tip='Gabor filter width'),
parameter.FloatParameter('b', 5.0, tip='Gabor filter depth'),
parameter.IntParameter('n', 6, tip='Number of orientations')
],
tip='Gabor filter')
from image import imagemodifier
from common import registeredclass
from common.IO import parameter
from SWIG.image.imagemanip import skeletonize
class SkeletonizeModifier(imagemodifier.ImageModifier):
def __init__(self, a, b, n, t):
self.a = a
self.b = b
self.n = n
self.t = t
def __call__(self, image):
skeletonize.makeSkel(image, self.a, self.b, self.n, self.t)
registeredclass.Registration('Skeletonization',
imagemodifier.ImageModifier,
SkeletonizeModifier,
ordering=20.,
params=[
parameter.FloatParameter('a', 3.0, tip='Gabor filter width'),
parameter.FloatParameter('b', 5.0, tip='Gabor filter depth'),
parameter.IntParameter('n', 6, tip='Number of orientations'),
parameter.IntParameter('t', 40, tip='Threshold value')
],
tip='Skeletonization algorithm')