Python-OpenCV 圖像疊加加權實現

函數說明

cv2.addWeighted(src1, alpha, src2, beta, gamma[, dst[, dtype]]) → dst

參數說明

• src1 – first input array.
• alpha – weight of the first array elements.
• src2 – second input array of the same size and channel number as src1.
• beta – weight of the second array elements.
• dst – output array that has the same size and number of channels as the input arrays.
• gamma – scalar added to each sum.
• dtype – optional depth of the output array; when both input arrays have the same depth, dtype can be set to -1, which will be equivalent to src1.depth().

此函數可以用一下矩陣表達式來代替：

dst = src1 * alpha + src2 * beta + gamma;

注意：由參數說明可以看出，被疊加的兩幅圖像必須是尺寸相同、類型相同的；並且，當輸出圖像array的深度為CV_32S時，這個函數就不適用了，這時候就會內存溢出或者算出的結果壓根不對。

CV_32S is a signed 32bit integer value for each pixel

 

python代碼實現:

# coding=utf-8

import cv2

# 底板圖案
bottom_pic = 'girl1.jpg'
# 上層圖案
top_pic = 'girl2.jpg'

bottom = cv2.imread(bottom_pic)
top = cv2.imread(top_pic)

h, w, _ = bottom.shape

img2 = cv2.resize(top, (w,h), interpolation=cv2.INTER_AREA)

#alpha，beta，gamma可調
alpha = 0.7
beta = 1-alpha
gamma = 0

# 權重越大，透明度越低
overlapping = cv2.addWeighted(bottom, alpha, img2, beta, gamma)
#cv2.addWeighted(bottom, 0.5, img2, 0.5, 0)
#overlapping = cv2.addWeighted(bottom,0.8,top,0.2,0)
# 保存疊加后的圖片
cv2.imwrite('overlap(8:2).jpg', overlapping)

cv2.namedWindow('newImage')
cv2.imshow('newImage',overlapping)
cv2.waitKey()
cv2.destroyAllWindows()