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
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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 )
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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
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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 )
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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:
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/missyougoon/article/details/81133070