def compute_lines(segmentation, spread, scale):
"""Given a line segmentation map, computes a list
of tuples consisting of 2D slices and masked images."""
lobjects = morph.find_objects(segmentation)
lines = []
for i, o in enumerate(lobjects):
if o is None:
continue
if sl.dim1(o) < 2 * scale or sl.dim0(o) < scale:
continue
mask = (segmentation[o] == i + 1)
if np.amax(mask) == 0:
continue
result = record()
result.label = i + 1
result.bounds = o
polygon = []
if ((segmentation[o] != 0) == (segmentation[o] != i + 1)).any():
ppoints = draw_polygon(spread[o], i + 1)
ppoints = ppoints[1:] if ppoints else []
polygon = [(o[0].start + p[0], o[1].start + p[1]) for p in ppoints]
if not polygon:
polygon = [(o[0].start, o[1].start), (o[0].stop, o[1].start),
(o[0].stop, o[1].stop), (o[0].start, o[1].stop)]
result.polygon = polygon
result.mask = mask
lines.append(result)
return lines
def compute_lines(segmentation, scale):
"""Given a line segmentation map, computes a list
of tuples consisting of 2D slices and masked images."""
lobjects = morph.find_objects(segmentation)
lines = []
for i, o in enumerate(lobjects):
if o is None:
continue
if sl.dim1(o) < 2 * scale or sl.dim0(o) < scale:
continue
mask = (segmentation[o] == i + 1)
if np.amax(mask) == 0:
continue
result = record()
result.label = i + 1
result.bounds = o
result.mask = mask
lines.append(result)
return lines
def compute_lines(segmentation, scale):
"""Given a line segmentation map, computes a list
of tuples consisting of 2D slices and masked images."""
lobjects = morph.find_objects(segmentation)
lines = []
for i, o in enumerate(lobjects):
if o is None:
continue
if sl.dim1(o) < 2*scale or sl.dim0(o) < scale:
continue
mask = (segmentation[o] == i+1)
if np.amax(mask) == 0:
continue
result = record()
result.label = i+1
result.bounds = o
result.mask = mask
lines.append(result)
return lines