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:
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('linuxidc.com.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('linuxidc.com', 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('linuxidc.com.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('www.linuxidc.com', 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:
