转自:https://blog.csdn.net/water_Popcorn/article/details/101534108
方法一:
import cv2 as cv
import numpy as np
# 像素取反
def get_img_info(img):
height = img.shape[0] # 高
width = img.shape[1] #宽
channels = img.shape[2] #通道数
#将图像的每个像素点进行反选操作
for row in range(height):
for col in range(width):
for c in range(channels):
pv = img[row, col, c]
img[row, col, c] = 255 - pv
cv.imshow("reserve", img)
cv.waitKey()
cv.destroyAllWindows()
方法二:
# 像素取反
def get_img_reserve(img):
#直接调用反选函数
dst = cv.bitwise_not(img)
cv.imshow("reserve",dst)
cv.waitKey()
cv.destroyAllWindows()
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来源:https://www.cnblogs.com/Manuel/p/12361948.html