图片移位原理

import cv2
import numpy as np
img = cv2.imread('d://python1//image//1.jpg',1)

imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]

matShift = np.float32([[1,0,100],[0,1,20]]) #2行3列
dst = cv2.warpAffine(img,matShift,(width,height))

cv2.imshow('image1',img)
cv2.imshow('image2',dst)
cv2.waitKey(0)

[[1,0,100],
[0,1,200]]
二行三列矩阵 拆分成二行二列 和二行一列

二行二列: A
[[1,0],
[0,1]]

二行一列 B
[[100],
[200]]

二行一列 C
xy

位移公式:
AC+B = [[1x+0y],[0x+1*y]] + [[100],[200]]
= [[x],[y]] + [[100],[200]]
= [[x+100],[y+200]]

所以原图像上的每一个像素点x+100，每一个y + 200
(10,20) -> (120,220)

列位移

import cv2
import numpy as np

img = cv2.imread('d://python1//image//year.jpg',1)
imgInfo = img.shape
dst = np.zeros(imgInfo,np.uint8)
height = imgInfo[0]
width = imgInfo[1]
#列遍历
for i in range(0,width):
    for j in range(0,height-100):
        dst[j+100][i] = img[j][i]
cv2.imshow('put1',img)
cv2.imshow('put2',dst)
cv2.waitKey(0)

行位移

import cv2
import numpy as np

img = cv2.imread('d://python1//image//year.jpg',1)
imgInfo = img.shape
dst = np.zeros(imgInfo,np.uint8)
height = imgInfo[0]
width = imgInfo[1]
#行遍历
for i in range(0,height):
    for j in range(0,width-100):
        dst[i][j+100] = img[i][j]
cv2.imshow('put1',img)
cv2.imshow('put2',dst)
cv2.waitKey(0)