Arithmetic Operations on Images html
能夠經過OpenCV函數cv.add()
或簡單地經過numpy操做添加兩個圖像,res = img1 + img2.兩個圖像應該具備相同的深度和類型,或者第二個圖像能夠是標量值.函數
NOTE:ui
代碼: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 輸出: [[255]] [4]
這也是圖像加法,可是對圖像賦予不一樣的權重(0到1之間),使得它具備混合感或透明感。
代碼:code
import cv2 import numpy as np img1 = cv2.imread('img.jpg') img2 = cv2.imread('img2.jpg') img2 = cv2.resize(img2,(480,331))#統一圖片大小 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運算.
但願將opencv徽標放在圖像上方,若是疊加兩個圖像,它將改變顏色;若是融合兩個圖像,會獲得一個透明的效果. 我但願它不透明,若是它是一個矩形區域,我能夠使用ROI按以前描述的操做,可是opencv徽標並非矩形,能夠按位操做完成相關功能.htm
代碼: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()