def latin_filter(line,scale=1.0,r=1.5,debug=0):
"""Filter out noise from a text line in Latin alphabets."""
bin = (line>0.5*amax(line))
mask = latin_mask(bin,scale=scale,r=r,debug=debug)
mask = morph.keep_marked(bin,mask)
mask = filters.maximum_filter(mask,3)
return line*mask
def latin_filter(line, scale=1.0, r=1.5, debug=0):
"""Filter out noise from a text line in Latin alphabets."""
bin = (line > 0.5 * amax(line))
mask = latin_mask(bin, scale=scale, r=r, debug=debug)
mask = morph.keep_marked(bin, mask)
mask = filters.maximum_filter(mask, 3)
return line * mask
def ccslineseg(image,debug=0):
image = 1.0*(image>0.3*amax(image))
sigma = 10.0
smooth = filters.gaussian_filter(image,(sigma,1.0*sigma),mode='constant')
center = (smooth==amax(smooth,axis=0)[newaxis,:])
center = filters.maximum_filter(center,(3,3))
center = morph.keep_marked(image>0.5,center)
center = filters.maximum_filter(center,(2,2))
center,_ = morph.label(center)
center = morph.spread_labels(center)
center *= image
return center
def ccslineseg(image,debug=0):
image = 1.0*(image>0.3*amax(image))
sigma = 10.0
smooth = filters.gaussian_filter(image,(sigma,1.0*sigma),mode='constant')
center = (smooth==amax(smooth,axis=0)[newaxis,:])
center = filters.maximum_filter(center,(3,3))
center = morph.keep_marked(image>0.5,center)
center = filters.maximum_filter(center,(2,2))
center,_ = morph.label(center)
center = morph.spread_labels(center)
center *= image
return center
