直接上代码,内有注释:
import cv2 ''' 图像的算数运算 ''' img1 = cv2.imread('messi.jpg') img2 = cv2.imread('opencv_logo.jpg') img3 = cv2.imread('robot.jpg') #Image Add #图像相加 addedImage = cv2.add(img2, img3) cv2.imshow('Added', addedImage) cv2.imwrite('Added.jpg', addedImage) #Image Blending #图像混合,size必须相同 blending = cv2.addWeighted(img3, 0.8, img2, 0.2, 0) cv2.imshow('Blending', blending) cv2.imwrite('Blending.jpg', blending) #Image bitwise # 图像的位运算 # 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 invers mask also #灰度化 #灰度图:就是图像的颜色由黑(0)到白(255)的颜色组成,中间是灰色。类似于黑白照片的效果。 img2gray = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY) # 对灰度图进行阙值处理 #像素的颜色值〉200是,设为255(白色),其他则设为0(黑色) =〉黑白图 ret, mask = cv2.threshold(img2gray, 200, 255, cv2.THRESH_BINARY) #取反,跟mask的黑白色转换 mask_inv = cv2.bitwise_not(mask) #Now black-out the area of logo in roi #当mask像素的色值不为0时,roi[i] ^ roi [i];mask像素的色值为0时,则输出0。 #所以表现为在roi上加上mask的黑色部分 img1_bg = cv2.bitwise_and(roi, roi, mask = mask) #同理,得出在img2上把白色部分变成黑色的图像 img2_fg = cv2.bitwise_and(img2, img2, mask = mask_inv) #把logo的非白部分加到ROI里 bitwise = cv2.add(img1_bg, img2_fg) #替换ROI img1[0:rows, 0:cols] = bitwise cv2.imshow('img2gray', img2gray) cv2.imshow('mask', mask) cv2.imshow('mask_inv', mask_inv) cv2.imshow('img1_bg', img1_bg) cv2.imshow('img2_fg', img2_fg) cv2.imshow('BitWise-ROI', bitwise) cv2.imshow('BitWise-Result', img1) cv2.imwrite('img2gray.jpg', img2gray) cv2.imwrite('mask.jpg', mask) cv2.imwrite('mask_inv.jpg', mask_inv) cv2.imwrite('img1_bg.jpg', img1_bg) cv2.imwrite('img2_fg.jpg', img2_fg) cv2.imwrite('BitWise-ROI.jpg', bitwise) cv2.imwrite('BitWise-Result.jpg', img1) cv2.waitKey(0) cv2.destroyAllWindows()
-----原图
1.messi
2.opencv-logo
3.robot
-----处理结果
1.图像相加
2.图像混合
3.图像位运算
3-1.灰度图
3-2.mask
3-3.mask取反
3-4.img1_bg
3-5.img2_fg
3-6.ROI位运算
3-7.最终结果
参照:
1.http://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_core/py_image_arithmetics/py_image_arithmetics.html#image-arithmetics
2.https://docs.opencv.org/2.4.13.5/modules/core/doc/operations_on_arrays.html#bitwise-and