def is_boxlike(array):
"""Whether the binary object's dimensions are symmetric, i.e. box-like"""
ymin, ymax, xmin, xmax = get_bounding_box(array)
y = abs(ymax - ymin)
x = abs(xmax - xmin)
if x > max(y * 1.05, y+3) or x < min(y * 0.95, y-3):
return False
return True
def _find_field_centroid(self):
"""Find the centroid of the radiation field based on a 50% height threshold.
Returns
-------
p
The CAX point location.
edges
The bounding box of the field, plus a small margin.
"""
min = np.percentile(self.array, 5)
max = self.array.max()
threshold_img = self.as_binary((max - min)/2 + min)
[*edges] = get_bounding_box(threshold_img)
edges[0] -= 10
edges[1] += 10
edges[2] -= 10
edges[3] += 10
coords = ndimage.measurements.center_of_mass(threshold_img)
p = Point(x=coords[-1], y=coords[0])
return p, edges
