SOL4Py Sample: AdaptiveImageThresholding

SOL4Py Samples



#******************************************************************************
#
#  Copyright (c) 2018 Antillia.com TOSHIYUKI ARAI. ALL RIGHTS RESERVED.
#
#    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 3 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, see <http://www.gnu.org/licenses/>.
#
#******************************************************************************

 
#  AdaptiveImageThresholding.py

# encodig: utf-8

import sys
import os
import cv2
import traceback


from PyQt5.QtCore    import *
from PyQt5.QtWidgets import *
from PyQt5.QtGui     import *

# 
sys.path.append('../')

from SOL4Py.ZApplicationView import *

from SOL4Py.ZLabeledComboBox import ZLabeledComboBox
from SOL4Py.ZLabeledSlider   import ZLabeledSlider
from SOL4Py.ZOpenCVImageView import ZOpenCVImageView  
from SOL4Py.ZVerticalPane    import ZVerticalPane  

 
class MainView(ZApplicationView):
  # Inner classes
  #--------------------------------------------
  class SourceImageView(ZOpenCVImageView):
    def __init__(self, parent):
      ZOpenCVImageView.__init__(self, parent)

    def load(self, filename):
      self.load_opencv_image(filename)
      self.update()

  class BinarizedImageView(ZOpenCVImageView):
    def __init__(self, parent):
      ZOpenCVImageView.__init__(self, parent)
      
    def load(self, filename):
      source_image = self.load_opencv_image(filename)
      image =  cv2.GaussianBlur(source_image, (3,3), 0, 0, borderType = cv2.BORDER_DEFAULT );

      self.gray_image = cv2.cvtColor(source_image, cv2.COLOR_RGB2GRAY)
             
    def binarize(self, adaptive_method_id, threshold_type_id, block_size):
      MAX_PIXEL_VALUE = 255
      C               = 9.0
    
      binarizered_image = cv2.adaptiveThreshold(self.gray_image,  MAX_PIXEL_VALUE, 
          adaptive_method_id, threshold_type_id, block_size,  C);
          
      self.set_opencv_image(binarizered_image)
      self.update()
      
  #--------------------------------------------
  


  # MainView Constructor
  def __init__(self, title, x, y, width, height):
    super(MainView, self).__init__(title, x, y, width, height)

    filename = "../images/flower.png"
    
    # 1 Create first imageview.
    self.source_image_view = self.SourceImageView(self) 

    # 2 Create second imageview.
    self.binarized_image_view = self.BinarizedImageView(self) 
  
    # 3 Load the file
    self.load_file(filename)
      
    # 4 Add two image views to a main_layout of this main view.
    self.add(self.source_image_view)
    self.add(self.binarized_image_view)

    self.show()
  

  def add_control_pane(self, fixed_width=220):
    # Control pane widget
    self.vpane = ZVerticalPane(self, fixed_width)
    
    self.block_size         = 11
    self.adaptive_method_id = 0;
    self.threshold_type_id  = 0;

    
    self.methods = {"ADAPTIVE_THRESH_MEAN_C": cv2.ADAPTIVE_THRESH_MEAN_C, 
                    "ADAPTIVE_THRESH_GAUSSIAN_C": cv2.ADAPTIVE_THRESH_GAUSSIAN_C}
    self.types   = {"THRESH_BINARY":  cv2.THRESH_BINARY  , 
                    "THRESH_BINARY_INV": cv2.THRESH_BINARY_INV }
    
    self.adaptive_method = ZLabeledComboBox(self.vpane, "AdaptiveMethod")
    self.adaptive_method.add_items(list(self.methods.keys() ))
    self.adaptive_method.add_activated_callback(self.adaptive_method_activated)
    
    self.threshold_type  = ZLabeledComboBox(self.vpane, "ThresholdType")
    self.threshold_type.add_items(list(self.types.keys()) )
    self.threshold_type.add_activated_callback(self.threshold_type_activated)
    
    self.labeled_slider = ZLabeledSlider(self.vpane, "BlockSize", take_odd =True,  
              minimum=3, maximum=43, value=self.block_size, fixed_width=200)
    self.labeled_slider.add_value_changed_callback(self.slider_value_changed)
    
    self.vpane.add(self.adaptive_method)
    self.vpane.add(self.threshold_type)    
    self.vpane.add(self.labeled_slider)

    self.set_right_dock(self.vpane)

  def file_open(self):
    options = QFileDialog.Options()
    filename, _ = QFileDialog.getOpenFileName(self,"FileOpenDialog", "",
                     "All Files (*);;Image Files (*.png;*jpg;*.jpeg)", options=options)
    if filename:
      self.load_file(filename)
      
  def load_file(self, filename):
    self.source_image_view.load(filename)
    self.binarized_image_view.load(filename)
    self.binarized_image_view.binarize(self.adaptive_method_id, self.threshold_type_id, self.block_size)
    self.set_filenamed_title(filename)
      
  
  def slider_value_changed(self, value):
    self.block_size = int(value)
    if self.block_size % 2 == 0:
      # Block size should be odd.
      self.block_size = int((self.block_size * 2)/2 + 1)
    #print("slider_value_changed:{}".format(block_size))
    self.binarized_image_view.binarize(self.adaptive_method_id, self.threshold_type_id, self.block_size)
     
  def adaptive_method_activated(self, text):
    #print("adaptive_method_activated:{}".format(text))
    self.adaptive_method_id = self.methods[text]
    
    self.binarized_image_view.binarize(self.adaptive_method_id, self.threshold_type_id, self.block_size)
     
  def threshold_type_activated(self, text):
    #print("threshold_type_activated:{}".format(text))
    self.threshold_type_id = self.types[text]
    self.binarized_image_view.binarize(self.adaptive_method_id, self.threshold_type_id, self.block_size)
     
     
#*************************************************
#    
if main(__name__):
  try:
    app_name  = os.path.basename(sys.argv[0])
    applet    = QApplication(sys.argv)
  
    main_view = MainView(app_name, 40, 40, 900, 380)
    main_view.show ()

    applet.exec_()

  except:
     traceback.print_exc()
     pass


Last modified: 1 May 2018