opencv怎么设置图像形态
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
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import cv2import numpy as np# 灰度 0-255 255-当前灰度值img = cv2.imread('image0.jpg" alt="opencv怎么设置图像形态（OpenCV图像颜色反转算法详解）" border="0" />imginfo = img.shapeheight = 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] = graypixelcv2.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
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import cv2import numpy as npimg = cv2.imread('image0.jpg" alt="opencv怎么设置图像形态（OpenCV图像颜色反转算法详解）" border="0" />imginfo = img.shapeheight = 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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原文链接：https://blog.csdn.net/missyougoon/article/details/81133070