/usr/share/pyshared/Eikazo/postprocessing/Threshold.py is in eikazo 0.5.2-8.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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Copyright (c) Abel Deuring 2006 <adeuring@gmx.net>
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 2 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA.
Threshold filter
"""
import gtk, gobject
from Eikazo.SaneError import SaneError
from Eikazo import Processor, I18n, Config, Plugins
import procinfo
DEBUG = 1
t = I18n.get_translation('eikazo')
if t:
_ = t.gettext
else:
_ = lambda x: x
N_ = lambda x: x
providers = []
_thresholdFilters = []
_plugin_info = Plugins.Plugin('Threshold', '', 'postprocessing', None)
try:
from Eikazo import MeanFilter
# check, if AdaptiveThresholdFilter is installed
MeanFilter.adaptiveThresholdFilter
class AdaptiveThreshold(Config.ConfigAware):
name = N_("Adaptive Threshold")
filterdescription = N_("""\
Adaptive Threshold Filter:
This filter converts RGB and gray scale images into bi-level images.
It calculates a threshold value for every pixel of an image
by averaging the values in a square area around the pixel and
subtracting an offset.
Typical values for the averaging square are 1.5mm .. 10mm; typical
values for the offset are 4% .. 8%
""")
def __init__(self, config):
Config.ConfigAware.__init__(self, config)
self.averageSize = 2
self.averageOffset = 5
self.readConfig()
self.build_widget()
def build_widget(self):
self.widget = gtk.Table(3, 4, homogeneous=False)
w = gtk.Label(_(self.filterdescription))
w.set_alignment(0, 0)
self.widget.attach(w, 0, 3, 1, 2, xoptions=gtk.FILL|gtk.EXPAND,
yoptions=gtk.FILL)
w.show()
w = gtk.Label(_('length of averaging square (mm)'))
w.set_alignment(0, 0)
self.widget.attach(w, 0, 1, 2, 3, xoptions=gtk.FILL,
yoptions=gtk.FILL)
w.show()
w = gtk.Label(_('Offset (% of white value)'))
w.set_alignment(0, 0)
self.widget.attach(w, 0, 1, 3, 4, xoptions=gtk.FILL,
yoptions=gtk.FILL)
w.show()
self.sizeadj = gtk.Adjustment(self.averageSize, 0, 200, 1, 10, 10)
self.sizeinput = gtk.SpinButton(self.sizeadj)
self.widget.attach(self.sizeinput, 1, 2, 2, 3, xoptions=0,
yoptions=gtk.FILL)
self.sizeinput.show()
self.sizeadj.connect('value-changed', self.cb_size)
self.offsadj = gtk.Adjustment(self.averageOffset, 0, 100, 1, 10, 10)
self.offsinput = gtk.SpinButton(self.offsadj)
self.widget.attach(self.offsinput, 1, 2, 3, 4, xoptions=0,
yoptions=gtk.FILL)
self.offsinput.show()
self.offsadj.connect('value-changed', self.cb_offset)
w = gtk.Label('')
self.widget.attach(w, 2, 3, 1, 2, xoptions=gtk.FILL|gtk.EXPAND,
yoptions=gtk.FILL)
w.show()
def cb_size(self, adj):
self.averageSize = adj.get_value()
def cb_offset(self, adj):
self.averageOffset = adj.get_value()
def filter(self, job):
img = job.img
mode = img.mode
if mode == '1':
return
elif mode == 'RGB':
img = img.convert('L')
elif mode != 'L':
raise SaneError('unexpected image mode: %s' % mode)
len = self.averageSize * job.resolution / 25.4
# we need an odd number of pixels as the square length
len = int(len) | 1
offs = self.averageOffset * 255.0 / 100.0
offs = int(round(offs))
img = MeanFilter.adaptiveThresholdFilter(img, len, -offs)
job.img = img.convert('1')
def readConfig(self):
val = self.config.getfloat('postprocessing', 'adaptivethreshold-size')
if val != None:
self.averageSize = val
self.sizeadj.set_value(val)
val = self.config.getfloat('postprocessing', 'adaptivethreshold-offset')
if val != None:
self.averageOffset = val
self.offsadj.set_value(val)
def writeConfig(self):
self.config.set('postprocessing', 'adaptivethreshold-size',
str(self.averageSize))
self.config.set('postprocessing', 'adaptivethreshold-offset',
str(self.averageOffset))
_thresholdFilters.append(AdaptiveThreshold)
except AttributeError, val:
if str(val) == "'module' object has no attribute 'adaptiveThresholdFilter'":
print "warning: could not activate adaptive threshold module. "
_plugin_info.error = 'Could not find module MeanFilter'
try:
import otsu
# check, if the otsu threshold properly is installed
otsu.otsu
class OtsuThreshold:
name = N_("Automatic Global Threshold")
filterdescription = N_("""\
This filter calculates automatically an "optimal" threshold for the
entire image (Otsu threshold). Useful for documents with a uniform
background intensity.
""")
def __init__(self, config):
self.widget = gtk.Label(_(self.filterdescription))
self.widget.set_alignment(0, 0)
self.widget.show()
def filter(self, job):
img = job.img
mode = img.mode
if mode == '1':
return
elif mode == 'RGB':
img = img.convert('L')
elif mode != 'L':
raise SaneError('unexpected image mode: %s' % mode)
hist = img.histogram()
t = otsu.otsu(hist)
print "Otsu threshold value", t
img = img.point(lambda x: x > t and 255 or 0, '1')
job.img = img
_thresholdFilters.append(OtsuThreshold)
except AttributeError, val:
if str(val) == "'module' object has no attribute 'adaptiveThresholdFilter'":
print "warning: could not activate adaptive threshold module. "
_plugin_info.error = 'Could not find module MeanFilter'
class Threshold(procinfo.ProcessingProvider, Config.ConfigAware):
sortpos = (procinfo.GRAY, procinfo.BILEVEL, 10)
name = N_("Threshold")
connectlabel = N_("Enable Threshold Filter")
filterdescription = N_("""\
Threshold Filter:
This filter converts RGB and gray scale images into bi-level images.
You can select different algorithms to evaluate the threshold value
""")
def __init__(self, notify_hub, enabled, config):
procinfo.ProcessingProvider.__init__(self, notify_hub, enabled, config)
Config.ConfigAware.__init__(self, config)
self.filters = [x(config) for x in _thresholdFilters]
self.active_filter = None
self.readConfig()
if self.active_filter == None:
# default: select the first filter
self.active_filter = 0
self.build_widget()
self.processor = procinfo.ScanJobFilterProcessor(self,
self.processor_input, notify_hub, self.name, self.enabled)
def build_widget(self):
self.widget = gtk.VBox()
if len(self.filters) > 1:
w = gtk.Label(_(self.filterdescription))
w.set_alignment(0, 0)
self.widget.pack_start(w, expand=False, fill=False)
w.show()
for i in range(len(self.filters)):
filter = self.filters[i]
if i == 0:
b = gtk.RadioButton(None, _(filter.name))
group = b
else:
b = gtk.RadioButton(group, _(filter.name))
b.set_active(i == self.active_filter)
self.widget.pack_start(b, expand=False, fill=False)
b.connect('clicked', self.cb_filter_selection, i)
b.show()
for i in range(len(self.filters)):
w = self.filters[i].widget
self.widget.pack_start(w, expand=False, fill=True)
if i == self.active_filter:
w.show()
def cb_filter_selection(self, w, index):
self.filters[self.active_filter].widget.hide()
self.active_filter = index
self.filters[index].widget.show()
def filter(self, job):
self.filters[self.active_filter].filter(job)
def readConfig(self):
procinfo.ProcessingProvider.readConfig(self)
val = self.config.get('postprocessing', 'threshold-filter')
if val != None:
for i in range(len(self.filters)):
if self.filters[i].name == val:
self.active_filter = i
break
def writeConfig(self):
procinfo.ProcessingProvider.writeConfig(self)
self.config.set('postprocessing', 'threshold-filter',
self.filters[self.active_filter].name)
providers.append(Threshold)
def register():
return providers
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