i'm trying to normalize an image. it isn't working. the pixel values are staying the same. help?
img = cv2.imread('image.jpg', 0)
norm_img = np.zeros((800,800))
final_img = cv2.normalize(img, norm_img, 0, 255, cv2.NORM_MINMAX)
the pixel values of img and final_img are unchanged. why?!
Drop zero:
img = cv.imread('image.jpg')
norm_img = np.zeros((800, 800))
final_img = cv.normalize(img, normalizedImg, 0, 255, cv.NORM_MINMAX)
cv.imshow('final_img', final_img)
cv.waitKey(0)
cv.destroyAllWindows()
Or to use cv2.resize()
import cv2 as cv
img = cv.imread(('image.jpg')
img = cv.resize(img, (800, 800))
cv.normalize(img, img, 0, 255, cv.NORM_MINMAX)
cv.imshow('dst_rt', img)
cv.waitKey(0)
cv.destroyAllWindows()
thank you for the response. however, this doesn't work. my values are still unchanged. i tried both ways.
no. i'm simply trying to normalize an image. but, it's not changing pixel values.
i'm printing a matrix to look at the values - - they are unchanged from original to normalized
that does change the values, but it creates a blank image
The image is 8-bits so values should already be 0-255, right? The operation won't change pixel values.
Asked: 2020-08-22 05:41:22 -0600
Seen: 2,019 times
Last updated: Aug 22 '20
