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()
1
来源:https://www.cnblogs.com/Manuel/p/12361948.html