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)
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)
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)
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