def __init__(self, input_image=numpy.ndarray, options=dict):
Operation.__init__(self, input_image=input_image, options=options)
if not self.options.has_key("window"):
self.options["window"] = (15, 15)
if not self.options.has_key("s_x"):
self.options["s_x"] = 3
if not self.options.has_key("s_y"):
self.options["s_y"] = 3
def __init__(self, input_image, options=dict):
# call to superclass
Operation.__init__(self, input_image=input_image, options=options)
# Check the options variable has the required options and replace if not
if not self.options.has_key('top'):
self.options['top'] = 255
if not self.options.has_key('bottom'):
self.options['bottom'] = 0
def __init__(self, input_image, options=dict):
# call to superclass
Operation.__init__(self, input_image=input_image, options=options)
# Check the options variable has the required options and replace if not
if not self.options.has_key('top'):
self.options['top'] = 255
if not self.options.has_key('bottom'):
self.options['bottom'] = 0
def __init__(self, input_image=numpy.ndarray, options=dict):
Operation.__init__(self, input_image=input_image, options=options)
if not self.options.has_key('window'):
self.options['window'] = (15, 15)
if not self.options.has_key('s_x'):
self.options['s_x'] = 3
if not self.options.has_key('s_y'):
self.options['s_y'] = 3
def __init__(self, input_image=numpy.ndarray, options=dict):
'''
Sauvola(input_image, options) -> ndarray
options:
widow (x,y) - window of the kernel
k - multiplaction factor for the Sauvola method
'''
Operation.__init__(self, input_image=input_image, options=options)
self.operation_name = 'GuoHall Thinning Method'
# save the image to a know location
cv2.imwrite(structure.Base.sample_dir + 'source.png', input_image)
def __init__(self, input_image=numpy.ndarray, options=dict):
"""
Sauvola(input_image, options) -> ndarray
options:
widow (x,y) - window of the kernel
k - multiplaction factor for the Sauvola method
"""
Operation.__init__(self, input_image=input_image, options=options)
self.operation_name = "GuoHall Thinning Method"
# save the image to a know location
cv2.imwrite(structure.Base.sample_dir + "source.png", input_image)
def __init__(self, input_image=numpy.ndarray, options=dict):
'''
Sauvola(input_image, options) -> ndarray
options:
widow (x,y) - window of the kernel
k - multiplaction factor for the Sauvola method
'''
Operation.__init__(self, input_image=input_image, options=options)
self.operation_name = 'Sauvola Method'
# Check existence of values
if not self.options.has_key('window'):
options['window'] = (15, 15)
if not self.options.has_key('k'):
options['k'] = 0.03
# save the image to a know location
self.dirname = structure.Base.sample_dir
cv2.imwrite(self.dirname + 'source.png', input_image)
self.k = options['k']
def __init__(self, input_image=numpy.ndarray, options=dict):
'''
Sauvola(input_image, options) -> ndarray
options:
widow (x,y) - window of the kernel
k - multiplaction factor for the Sauvola method
'''
Operation.__init__(self, input_image=input_image, options=options)
self.operation_name = 'Sauvola Method'
# Check existence of values
if not self.options.has_key('window'):
options['window'] = (15, 15)
if not self.options.has_key('k'):
options['k'] = 0.03
# save the image to a know location
self.dirname = structure.Base.sample_dir
cv2.imwrite(self.dirname + 'source.png', input_image)
self.k = options['k']
def __init__(self, input_image=numpy.ndarray, options=dict):
Operation.__init__(self, input_image=input_image, options=options)
def __init__(self, input_image=numpy.ndarray, options=dict):
Operation.__init__(self, input_image=input_image, options=options)
if not self.options.has_key("ksize"):
self.options["ksize"] = (15, 15)
def __init__(self, input_image=numpy.ndarray, options=dict):
Operation.__init__(self, input_image=input_image, options=options)
def __init__(self, input_image=numpy.ndarray, options=dict):
Operation.__init__(self, input_image=input_image, options=options)
if not self.options.has_key('ksize'):
self.options['ksize'] = (15, 15)