def split_regions(self, binary=False):
'''Split regions id into separate Label instance'''
indices = self.regions_indices()
split = dict()
for i, idx in indices.iteritems():
split[i] = Label(data=np.zeros(self.data.shape, dtype=self.dtype))
if binary:
split[i].data[idx] = 1
else:
split[i].data[idx] = i
return split
def split_regions(self, binary=False):
'''Split regions id into separate Label instance'''
indices = self.regions_indices()
split = dict()
for i, idx in indices.iteritems():
split[i] = Label(data=np.zeros(self.data.shape, dtype=self.dtype))
if binary:
split[i].data[idx] = 1
else:
split[i].data[idx] = i
return split
def find_regions_with_labels(self, label_dic):
''' Return a binary labeled volume.
Voxels whose original label is listed in label_dic will be set to 1
in the output volume.
Keyword arguments:
label_dic -- Dictionary of labels which will be used as reference.
'''
indices = self.regions_indices()
outLabel = Label(data=np.zeros(self.data.shape, dtype=self.dtype))
for i, idx in indices.iteritems():
if i in label_dic.values():
outLabel.data[idx] = 1;
return outLabel
def find_regions_with_labels(self, label_dic):
''' Return a binary labeled volume.
Voxels whose original label is listed in label_dic will be set to 1
in the output volume.
Keyword arguments:
label_dic -- Dictionary of labels which will be used as reference.
'''
indices = self.regions_indices()
outLabel = Label(data=np.zeros(self.data.shape, dtype=self.dtype))
for i, idx in indices.iteritems():
if i in label_dic.values():
outLabel.data[idx] = 1
return outLabel
