opencv自带Otsu算法，只需要在分割时将参数选择为“cv2.THRESH_OTSU”即可

#coding:utf-8
import cv2
import numpy as np
from matplotlib import pyplot as pltimage = cv2.imread('E:/shale10053.bmp')
grayimage = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
gray = cv2.GaussianBlur(grayimage, (3,3), 0)plt.figure(figsize=(5,5))
plt.subplot(), plt.imshow(image, "gray")
plt.title("source image"), plt.xticks([]), plt.yticks([])ret1, th1 = cv2.threshold(gray, 0, 255, cv2.THRESH_OTSU)  #方法选择为THRESH_OTSUplt.figure(figsize=(5,5))
plt.subplot(), plt.imshow(th1, "gray")
plt.title("Otsu,threshold is " + str(ret1)), plt.xticks([]), plt.yticks([])plt.figure(figsize=(12,5))
plt.subplot() 
plt.title("Histogram")
plt.hist(image.ravel(),255,color='red',alpha=1,rwidth=0.3)