如何使用循环将灰度图像转换为 python 中的二进制图像？

Question

I want to convert an grayscale image to binary without using threshold methods.I can reach all the pixels of the image with the code below but i dont know how to convert the pixel colours accordingly.Can you help me?

import cv2


img=cv2.imread('rose.jpg',0)
cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAllWindows()

height=img.shape[0]
print("h=",h)
width=img.shape[1]
print("w=",w)  

for i in range(height):
    for j in range(width):
        k=img[i,j]
        print(k)

Answer 1

I want to convert an grayscale image to binary without using threshold methods.I can reach all the pixels of the image with the code below but i dont know how to convert the pixel colours accordingly.Can you help me?

import cv2


img=cv2.imread('rose.jpg',0)
cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAllWindows()

height=img.shape[0]
print("h=",h)
width=img.shape[1]
print("w=",w)  

for i in range(height):
    for j in range(width):
        k=img[i,j]
        print(k)

Answer 2

I want to convert an grayscale image to binary without using threshold methods.I can reach all the pixels of the image with the code below but i dont know how to convert the pixel colours accordingly.Can you help me?

import cv2


img=cv2.imread('rose.jpg',0)
cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAllWindows()

height=img.shape[0]
print("h=",h)
width=img.shape[1]
print("w=",w)  

for i in range(height):
    for j in range(width):
        k=img[i,j]
        print(k)