opencv+python 如何使用橡素坐标和numpy实现图像平移

 

 

import cv2
import numpy as np
#
#  通过cv2.warpAffine()实现移动
#
img=cv2.imread('D:\Python_OpenCV\chapter3_Pics\clock.jpg')
# 构造移动矩阵M，设在x轴方向移动50个像素和在y轴方向移动25个像素的距离
M = np.float32([[1, 0, 50], [0, 1, 25]])
rows, cols = img.shape[0:2]
print(img.shape)
# 注意rows和cols需要反置，即先列后行
dst = cv2.warpAffine(img, M, (2*cols, 2*rows))cv2.imshow('Origin_image', img)
cv2.imshow('New_picture', dst)
#
#  通过矩阵乘法实现移动
#
img_dest = np.zeros((rows*2,cols*2,3),np.uint8)
# 构造移动矩阵M，设在x轴方向移动50个像素和在y轴方向移动25个像素的距离
M = np.float32([[1, 0, 25], [0, 1, 50]])
# 修改各个像素的坐标
for y in range(rows):for x in range(cols):#print( img[y,x,:])point = np.float32([y,x,1])y_,x_=np.dot(point,np.transpose(M))# print(x_,y_)img_dest[np.int32(y_), np.int32(x_), 0]= img[y,x,0]img_dest[np.int32(y_), np.int32(x_), 1]= img[y,x,1]img_dest[np.int32(y_), np.int32(x_), 2]= img[y,x,2]
cv2.imshow('img_dest', img_dest)
cv2.waitKey(0)
cv2.destroyAllWindows()