def compute_separators_morph_horizontal(binary, scale, widen=True):
"""Finds vertical black lines corresponding to column separators."""
span = 4
d0 = span #int(max(5, scale / 5))
if widen:
d1 = span + 1
else:
d1 = span
thick = morph.r_dilation(binary, (d1, d0))
hor = morph.r_opening(thick, (1, int(4 * scale)))
hor = morph.r_erosion(hor, (span, d0 // 2))
return hor
def compute_separators_morph_vertical(binary, scale, widen=True):
"""Finds vertical black lines corresponding to column separators."""
span = 3 #min(5, int(scale * 0.2))
d0 = span
if widen:
d1 = span + 1
else:
d1 = span
thick = morph.r_dilation(binary, (d0, d1))
vert = morph.r_opening(thick, (int(2 * scale), 1))
vert = morph.r_erosion(vert, (d0 // 2, span))
return vert
def compute_gradmaps(binary, scale):
# use gradient filtering to find baselines
binaryary = morph.r_opening(binary.astype(bool), (1, 1)) # CMND
boxmap = compute_boxmap(binaryary, scale, binary)
cleaned = boxmap * binaryary
if args.usegauss:
# this uses Gaussians
grad = gaussian_filter(
1.0 * cleaned,
(args.vscale * 0.3 * scale, args.hscale * 6 * scale),
order=(1, 0))
else:
# this uses non-Gaussian oriented filters
grad = gaussian_filter(
1.0 * cleaned,
(max(4, args.vscale * 0.3 * scale), args.hscale * 1.0 * scale),
order=(1, 0))
grad = uniform_filter(grad,
(args.vscale, args.hscale * 1 * scale)) # CMND
bottom = ocrolib.norm_max((grad < 0) * (-grad))
# bottom = minimum_filter(bottom,(2,6*scale))
top = ocrolib.norm_max((grad > 0) * grad)
# top = minimum_filter(top,(2,6*scale))
return bottom, top, boxmap