關於圖像的位操作,目的是為了將一個logo覆蓋到另一個圖片上。
# -*- coding: utf-8 -*- """ Created on Wed Sep 28 20:05:50 2016 @author: Administrator """ ''' 位運算 Bitwise Operations ''' import numpy as np import cv2 def show(img_name,img_data): cv2.imshow(img_name,img_data) cv2.waitKey(0) cv2.destroyAllWindows() # Load two images img1 = cv2.imread('ml.png') img2 = cv2.imread('opencv_logo.png') # I want to put ligo on top-left corner,so I create a ROI rows,cols,channels = img2.shape roi = img1[0:rows,0:cols] #show('roi',roi) # Now create a mask of logo and create its inverse mask also img2gray = cv2.cvtColor(img2,cv2.COLOR_BGR2GRAY) #show('img2gray',img2gray) # threshold 閥值函數 # grayscale image; threshold; maxval; function of style # THRESH_BINARY ret, mask = cv2.threshold(img2gray,10,255,cv2.THRESH_BINARY) #show('mask',mask) mask_inv = cv2.bitwise_not(mask) #show('mask_inv',mask_inv) # Now black-out the area of logo in ROI # sr1;sr2;dst;mask; # dst 就是記錄結果的 mask 就是控制位 # 就是 2個數據都要先和mask按位和 然后再按位和 如果有mask這個參數的話 # 通過位的與運算,達到“掩蓋”的目的 img1_bg = cv2.bitwise_and(roi,roi,mask = mask_inv) #show('img1_bg',img1_bg) # Take only region of logo from logo image img2_fg = cv2.bitwise_and(img2,img2,mask=mask) #show('img2_fg',img2_fg) # Put logo in ROI and modify the main image dst = cv2.add(img1_bg,img2_fg) show('dst',dst) img1[0:rows,0:cols] = dst show('res',img1)
輸出圖形(位置好像不太對。。。請忽略):
這里感謝交流群里廢帝和黃同學幫助理解位運算。目前還是不能深入理解,再學習下吧。