OpenCV图像颜色反转算法详解


						前言

图像颜色的反转,比较简单的思路就是使用255减去当前值,从而得到反转后的图像.原始图片: 





1.灰度图像的颜色反转





import cv2

import numpy as np



# 灰度 0-255 255-当前灰度值

img = cv2.imread('image0.jpg', 1)

imgInfo = img.shape

height = imgInfo[0]

width = imgInfo[1]



gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)



dst = np.zeros((height, width, 1), np.uint8)



for i in range(height):

  for j in range(width):

    grayPixel = 255 - gray[i, j]

    dst[i, j] = grayPixel



cv2.imshow('image', dst)

cv2.waitKey(0)



用255减去当前灰度值,得到反转后的图像.图像如下: 





2.BGR图像的反转





import cv2

import numpy as np



img = cv2.imread('image0.jpg', 1)

imgInfo = img.shape

height = imgInfo[0]

width = imgInfo[1]



dst = np.zeros((height, width, 3), np.uint8)



for i in range(height):

  for j in range(width):

    (b, g, r) = img[i, j]

    b = 255 - b

    g = 255 - g

    r = 255 - r

    dst[i, j] = (b, g, r)





cv2.imshow('image', dst)

cv2.waitKey(0)



BGR图像反转也是一样,同样是使用255减去每一个通道的当前值.效果如下: 







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