def __call__(self, image):
if config.dimension() == 2:
dbls = oofimage.grayify(image)
bools = oofimage.threshold(dbls, self.T)
oofimage.setFromBool(image, bools)
elif config.dimension() == 3:
image.threshold(self.T)
def __call__(self, image):
if config.dimension() == 2:
dbls = oofimage.grayify(image)
bools = oofimage.threshold(dbls,self.T)
oofimage.setFromBool(image,bools)
elif config.dimension() == 3:
image.threshold(self.T)
def __call__(self, image):
dbls = oofimage.grayify(image)
bools = oofimage.threshold(dbls, self.T)
oofimage.setFromBool(image, bools)
def __call__(self, image):
dbls = oofimage.grayify(image)
bools = oofimage.threshold(dbls, .5)
hough = imageops.houghTrans(bools)
def __call__(self, image):
dbls = oofimage.grayify(image)
bool1 = oofimage.threshold(dbls, .5)
imageops.compare(bool1, self.val)
def __call__(self, image):
dbls = oofimage.grayify(image)
bools = oofimage.threshold(dbls,self.T)
oofimage.setFromBool(image,bools)
def __call__(self, image):
dbls = oofimage.grayify(image)
bools = oofimage.threshold(dbls,.5)
hough = imageops.houghTrans(bools)
def __call__(self,image):
dbls=oofimage.grayify(image)
bool1=oofimage.threshold(dbls,.5)
imageops.compare(bool1,self.val)
