Seuillage Trunc

# Python program to illustrate
# Otsu thresholding type on an image
  
# organizing imports
import cv2
from matplotlib import pyplot as plt
import matplotlib.image as mpimg
 
# path to input image is specified and
# image is loaded with imread command
image_originale = cv2.imread('cat-threshimages.jpg')
 
plt.imshow(image_originale)
plt.axis('off')
plt.show()
 
# cv2.cvtColor is applied over the
# image input with applied parameters
# to convert the image in grayscale
img = cv2.cvtColor(image_originale, cv2.COLOR_BGR2GRAY)
 
plt.imshow(img, 'gray')
plt.axis('off')
plt.show()
 
# applying Otsu thresholding
# as an extra flag in binary 
# thresholding     
th, thresh1 = cv2.threshold(img, 50, 255, cv2.THRESH_TRUNC)
 
# the window showing output image         
# with the corresponding thresholding         
# techniques applied to the input image    
plt.imshow(thresh1, 'gray')
plt.axis('off')
plt.show()
 
mpimg.imsave('CatTruncThresholding-50.jpg', thresh1, cmap='gray')
 
# applying Otsu thresholding
# as an extra flag in binary 
# thresholding     
th, thresh1 = cv2.threshold(img, 100, 255, cv2.THRESH_TRUNC)
 
# the window showing output image         
# with the corresponding thresholding         
# techniques applied to the input image    
plt.imshow(thresh1, 'gray')
plt.axis('off')
plt.show()
 
mpimg.imsave('CatTruncThresholding-100.jpg', thresh1, cmap='gray')
 
# applying Otsu thresholding
# as an extra flag in binary 
# thresholding     
th, thresh1 = cv2.threshold(img, 150, 255, cv2.THRESH_TRUNC)
 
# the window showing output image         
# with the corresponding thresholding         
# techniques applied to the input image    
plt.imshow(thresh1, 'gray')
plt.axis('off')
plt.show()
 
mpimg.imsave('CatTruncThresholding-150.jpg', thresh1, cmap='gray')
 
# applying Otsu thresholding
# as an extra flag in binary 
# thresholding     
th, thresh1 = cv2.threshold(img, 200, 255, cv2.THRESH_TRUNC)
 
# the window showing output image         
# with the corresponding thresholding         
# techniques applied to the input image    
plt.imshow(thresh1, 'gray')
plt.axis('off')
plt.show()
 
mpimg.imsave('CatTruncThresholding-200.jpg', thresh1, cmap='gray')