Seuillage Adaptative mean et gaussien

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('Region-based-segmentation.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_gray = cv2.cvtColor(image_originale, cv2.COLOR_BGR2GRAY)
 
# applying different thresholding 
# techniques on the input image
Adaptative_mean = cv2.adaptiveThreshold(img_gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY, 9, 15)
 
plt.imshow(Adaptative_mean, 'gray')
plt.axis('off')
plt.show()
 
mpimg.imsave('AdaptativeMeanThresholding.jpg', Adaptative_mean, cmap='gray')
 
Adaptative_gaussian = cv2.adaptiveThreshold(img_gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 9, 15)
 
plt.imshow(Adaptative_gaussian, 'gray')
plt.axis('off')
plt.show()
 
mpimg.imsave('AdaptativeGaussianThresholding.jpg', Adaptative_gaussian, cmap='gray')