Arithmetic Operations on Images html
能够经过OpenCV函数cv.add()
或简单地经过numpy操做添加两个图像,res = img1 + img2.两个图像应该具备相同的深度和类型,或者第二个图像能够是标量值.函数
NOTE:ui
代码:spa
import cv2 import numpy as np x = np.uint8([250]) y = np.uint8([10]) print( cv2.add(x,y) ) # 250+10 = 260 => 255 print( x+y ) # 250+10 = 260 % 256 = 4 输出: [[255]] [4]
这也是图像加法,可是对图像赋予不一样的权重(0到1之间),使得它具备混合感或透明感。
代码:code
import cv2 import numpy as np img1 = cv2.imread('img.jpg') img2 = cv2.imread('img2.jpg') img2 = cv2.resize(img2,(480,331))#统一图片大小 dst = cv2.addWeighted(img1,0.5,img2,0.5,0) cv2.imshow('dst',dst) cv2.waitKey(0) cv2.destroyAllWindows()
包括按位AND,OR,NOT和XOR运算.
但愿将opencv徽标放在图像上方,若是叠加两个图像,它将改变颜色;若是融合两个图像,会获得一个透明的效果. 我但愿它不透明,若是它是一个矩形区域,我能够使用ROI按以前描述的操做,可是opencv徽标并非矩形,能够按位操做完成相关功能.htm
代码:blog
import cv2 import numpy as np img1 = cv2.imread('img.jpg') img2 = cv2.imread('img1.jpg') img2 = cv2.resize(img2,(100,100)) # I want to put logo on top-left corner, So I create a ROI rows,cols,channels = img2.shape roi = img1[0:rows, 0:cols ] # Now create a mask of logo and create its inverse mask also img2gray = cv2.cvtColor(img2,cv2.COLOR_BGR2GRAY) ret, mask = cv2.threshold(img2gray, 200, 255, cv2.THRESH_BINARY) mask_inv = cv2.bitwise_not(mask) # Now black-out the area of logo in ROI img1_bg = cv2.bitwise_and(roi,roi,mask = mask) # Take only region of logo from logo image. img2_fg = cv2.bitwise_and(img2,img2,mask = mask_inv) # Put logo in ROI and modify the main image dst = cv2.add(img1_bg,img2_fg) img1[0:rows, 0:cols ] = dst cv2.imshow('res',img1) cv2.waitKey(0) cv2.destroyAllWindows()