def compute_colseps_conv(binary, csminheight, maxcolseps, scale=1.0, debug=False):
"""Find column separators by convoluation and
thresholding."""
h,w = binary.shape
# find vertical whitespace by thresholding
smoothed = gaussian_filter(1.0 * binary, (scale, scale*0.5))
smoothed = uniform_filter(smoothed, (5.0*scale,1))
thresh = (smoothed<np.amax(smoothed)*0.1)
if debug:
debug_show(thresh, "compute_colseps_conv thresh")
# find column edges by filtering
grad = gaussian_filter(1.0*binary, (scale, scale*0.5), order=(0,1))
grad = uniform_filter(grad, (10.0*scale,1))
# grad = abs(grad) # use this for finding both edges
grad = (grad>0.5*np.amax(grad))
if debug:
debug_show(grad, "compute_colseps_conv grad")
# combine edges and whitespace
seps = np.minimum(thresh,maximum_filter(grad, (int(scale), int(5*scale))))
seps = maximum_filter(seps,(int(2*scale),1))
if debug:
debug_show(seps, "compute_colseps_conv seps")
# select only the biggest column separators
seps = morph.select_regions(seps,sl.dim0,
min=csminheight*scale,
nbest=maxcolseps)
if debug:
debug_show(seps, "compute_colseps_conv 4seps")
return seps
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