基于python的空域变换

江南才子

主要应用

去除叠加性噪声
生成图像叠加效果

import cv2 as cv
img1 = cv.imread("1.jpg")
img2 = cv.imread("2.jpg")
print(img1.shape,img2.shape)
img1=cv.resize(img1,(img2.shape[1],img2.shape[0]))
image=cv.addWeighted(img1,0.6,img2,0.4,0.0,)

cv.imshow('img1',image)

cv.waitKey(0)
cv.destroyAllWindows()

　　减法运算

　　“主要运用”

显示两幅图像的差异，检测同一场景两幅图像之间的变化，如：视频中镜头边界的检测
去除不需要的叠加性图案
图像分割：如分割运动的车辆，减法去掉静止部分，剩余的是运动元素和噪声

import cv2 as cv

img1=cv.imread('5.png')
img2=cv.imread('6.png')
#img1=cv.imread('LinuxLogo.jpg')
#img2=cv.imread('WindowsLogo.jpg')
dst=cv.add(img1,img2)
dst1=cv.subtract(img1,img2)

cv.imshow('dst',dst1)
cv.imshow('dst1',dst)

cv.waitKey(0)
cv.destroyAllWindows()

　　乘法运算

主要应用
图像的局部显示，如：用二值蒙板图像与原图像做乘法

import cv2 as cv

img1=cv.imread('5.png')
img2=cv.imread('6.png')
dst=img1*img2
cv.imshow('181360152',dst)

cv.waitKey(0)
cv.destroyAllWindows()

　　逻辑运算

非运算主要运用：图像求反，g（x,y）=255-f(x,y)
与运算主要用于：两个图像相交子集，提取感兴趣子图像，g（x,y）=f（x,y）^h（x,y)

import cv2 as cv

img1=cv.imread('LinuxLogo.jpg')
img2=cv.imread('WindowsLogo.jpg')
and_img=cv.bitwise_and(img1,img2)
or_img=cv.bitwise_or(img1,img2)
not_img=cv.bitwise_not(img1)
xor_img=cv.bitwise_xor(img1,img2)

cv.imshow('181360152',and_img)
cv.imshow('181360152zhang',or_img)
cv.imshow('181360152yang',not_img)
cv.imshow('181360152-',xor_img)

cv.waitKey(0)
cv.destroyAllWindows()

　　缩放

import cv2
import math
import numpy as np

class Img:
  def __init__(self,image,rows,cols,center=[0,0]):

    self<span class="token punctuation">.</span>src<span class="token operator">=</span>image <span class="token comment">#原始图像</span>
    self<span class="token punctuation">.</span>rows<span class="token operator">=</span>rows <span class="token comment">#原始图像的行</span>
    self<span class="token punctuation">.</span>cols<span class="token operator">=</span>cols <span class="token comment">#原始图像的列</span>
    self<span class="token punctuation">.</span>center<span class="token operator">=</span>center <span class="token comment">#旋转中心，默认是[0,0]</span>

def Move(self,delta_x,delta_y): #平移

<span class="token comment">#delta_x&gt;0左移，delta_x&lt;0右移</span>
    <span class="token comment">#delta_y&gt;0上移，delta_y&lt;0下移</span>
    self<span class="token punctuation">.</span>transform<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span>delta_x<span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">,</span>delta_y<span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>

def Zoom(self,factor): #缩放

<span class="token comment">#factor&gt;1表示缩小；factor&lt;1表示放大</span>
    self<span class="token punctuation">.</span>transform<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span>factor<span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span>factor<span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>

def Horizontal(self): #水平镜像

self<span class="token punctuation">.</span>transform<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token operator">-</span><span class="token number">1</span><span class="token punctuation">,</span>self<span class="token punctuation">.</span>cols<span class="token operator">-</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>

def Vertically(self): #垂直镜像

self<span class="token punctuation">.</span>transform<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span><span class="token operator">-</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span>self<span class="token punctuation">.</span>rows<span class="token operator">-</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>

def Rotate(self,beta): #旋转

<span class="token comment">#beta&gt;0表示逆时针旋转；beta&lt;0表示顺时针旋转</span>
    self<span class="token punctuation">.</span>transform<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span>math<span class="token punctuation">.</span>cos<span class="token punctuation">(</span>beta<span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token operator">-</span>math<span class="token punctuation">.</span>sin<span class="token punctuation">(</span>beta<span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
                 <span class="token punctuation">[</span>math<span class="token punctuation">.</span>sin<span class="token punctuation">(</span>beta<span class="token punctuation">)</span><span class="token punctuation">,</span> math<span class="token punctuation">.</span>cos<span class="token punctuation">(</span>beta<span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
                 <span class="token punctuation">[</span>  <span class="token number">0</span><span class="token punctuation">,</span>        <span class="token number">0</span><span class="token punctuation">,</span>     <span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>

def Process(self):

self<span class="token punctuation">.</span>dst<span class="token operator">=</span>np<span class="token punctuation">.</span>zeros<span class="token punctuation">(</span><span class="token punctuation">(</span>self<span class="token punctuation">.</span>rows<span class="token punctuation">,</span>self<span class="token punctuation">.</span>cols<span class="token punctuation">)</span><span class="token punctuation">,</span>dtype<span class="token operator">=</span>np<span class="token punctuation">.</span>uint8<span class="token punctuation">)</span>
    <span class="token keyword">for</span> i <span class="token keyword">in</span> <span class="token builtin">range</span><span class="token punctuation">(</span>self<span class="token punctuation">.</span>rows<span class="token punctuation">)</span><span class="token punctuation">:</span>
      <span class="token keyword">for</span> j <span class="token keyword">in</span> <span class="token builtin">range</span><span class="token punctuation">(</span>self<span class="token punctuation">.</span>cols<span class="token punctuation">)</span><span class="token punctuation">:</span>
        src_pos<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span>i<span class="token operator">-</span>self<span class="token punctuation">.</span>center<span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span>j<span class="token operator">-</span>self<span class="token punctuation">.</span>center<span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">)</span>
        <span class="token punctuation">[</span>x<span class="token punctuation">,</span>y<span class="token punctuation">,</span>z<span class="token punctuation">]</span><span class="token operator">=</span>np<span class="token punctuation">.</span>dot<span class="token punctuation">(</span>self<span class="token punctuation">.</span>transform<span class="token punctuation">,</span>src_pos<span class="token punctuation">)</span>
        x<span class="token operator">=</span><span class="token builtin">int</span><span class="token punctuation">(</span>x<span class="token punctuation">)</span><span class="token operator">+</span>self<span class="token punctuation">.</span>center<span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">]</span>
        y<span class="token operator">=</span><span class="token builtin">int</span><span class="token punctuation">(</span>y<span class="token punctuation">)</span><span class="token operator">+</span>self<span class="token punctuation">.</span>center<span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">]</span>

<span class="token keyword">if</span> x<span class="token operator">&gt;=</span>self<span class="token punctuation">.</span>rows <span class="token operator">or</span> y<span class="token operator">&gt;=</span>self<span class="token punctuation">.</span>cols <span class="token operator">or</span> x<span class="token operator">&lt;</span><span class="token number">0</span> <span class="token operator">or</span> y<span class="token operator">&lt;</span><span class="token number">0</span><span class="token punctuation">:</span>
          self<span class="token punctuation">.</span>dst<span class="token punctuation">[</span>i<span class="token punctuation">]</span><span class="token punctuation">[</span>j<span class="token punctuation">]</span><span class="token operator">=</span><span class="token number">255</span>
        <span class="token keyword">else</span><span class="token punctuation">:</span>
          self<span class="token punctuation">.</span>dst<span class="token punctuation">[</span>i<span class="token punctuation">]</span><span class="token punctuation">[</span>j<span class="token punctuation">]</span><span class="token operator">=</span>self<span class="token punctuation">.</span>src<span class="token punctuation">[</span>x<span class="token punctuation">]</span><span class="token punctuation">[</span>y<span class="token punctuation">]</span>

if __name__=='__main__': src=cv2.imread('123.jpg',0) rows = src.shape[0] cols = src.shape[1]　　cv2.imshow('src', src)
img=Img(src,rows,cols,[248,231]) img.Zoom(0.5) #缩放 img.Process() cv2.imshow('dst', img.dst)　　cv2.waitKey(0)

　　平移

import cv2
import math
import numpy as np

class Img:
  def __init__(self,image,rows,cols,center=[0,0]):

    self<span class="token punctuation">.</span>src<span class="token operator">=</span>image <span class="token comment">#原始图像</span>
    self<span class="token punctuation">.</span>rows<span class="token operator">=</span>rows <span class="token comment">#原始图像的行</span>
    self<span class="token punctuation">.</span>cols<span class="token operator">=</span>cols <span class="token comment">#原始图像的列</span>
    self<span class="token punctuation">.</span>center<span class="token operator">=</span>center <span class="token comment">#旋转中心，默认是[0,0]</span>

def Move(self,delta_x,delta_y): #平移

<span class="token comment">#delta_x&gt;0左移，delta_x&lt;0右移</span>
    <span class="token comment">#delta_y&gt;0上移，delta_y&lt;0下移</span>
    self<span class="token punctuation">.</span>transform<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span>delta_x<span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">,</span>delta_y<span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>

def Zoom(self,factor): #缩放

<span class="token comment">#factor&gt;1表示缩小；factor&lt;1表示放大</span>
    self<span class="token punctuation">.</span>transform<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span>factor<span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span>factor<span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>

def Horizontal(self): #水平镜像

self<span class="token punctuation">.</span>transform<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token operator">-</span><span class="token number">1</span><span class="token punctuation">,</span>self<span class="token punctuation">.</span>cols<span class="token operator">-</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>

def Vertically(self): #垂直镜像

self<span class="token punctuation">.</span>transform<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span><span class="token operator">-</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span>self<span class="token punctuation">.</span>rows<span class="token operator">-</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>

def Rotate(self,beta): #旋转

<span class="token comment">#beta&gt;0表示逆时针旋转；beta&lt;0表示顺时针旋转</span>
    self<span class="token punctuation">.</span>transform<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span>math<span class="token punctuation">.</span>cos<span class="token punctuation">(</span>beta<span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token operator">-</span>math<span class="token punctuation">.</span>sin<span class="token punctuation">(</span>beta<span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
                 <span class="token punctuation">[</span>math<span class="token punctuation">.</span>sin<span class="token punctuation">(</span>beta<span class="token punctuation">)</span><span class="token punctuation">,</span> math<span class="token punctuation">.</span>cos<span class="token punctuation">(</span>beta<span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
                 <span class="token punctuation">[</span>  <span class="token number">0</span><span class="token punctuation">,</span>        <span class="token number">0</span><span class="token punctuation">,</span>     <span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>

def Process(self):

self<span class="token punctuation">.</span>dst<span class="token operator">=</span>np<span class="token punctuation">.</span>zeros<span class="token punctuation">(</span><span class="token punctuation">(</span>self<span class="token punctuation">.</span>rows<span class="token punctuation">,</span>self<span class="token punctuation">.</span>cols<span class="token punctuation">)</span><span class="token punctuation">,</span>dtype<span class="token operator">=</span>np<span class="token punctuation">.</span>uint8<span class="token punctuation">)</span>
    <span class="token keyword">for</span> i <span class="token keyword">in</span> <span class="token builtin">range</span><span class="token punctuation">(</span>self<span class="token punctuation">.</span>rows<span class="token punctuation">)</span><span class="token punctuation">:</span>
      <span class="token keyword">for</span> j <span class="token keyword">in</span> <span class="token builtin">range</span><span class="token punctuation">(</span>self<span class="token punctuation">.</span>cols<span class="token punctuation">)</span><span class="token punctuation">:</span>
        src_pos<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span>i<span class="token operator">-</span>self<span class="token punctuation">.</span>center<span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span>j<span class="token operator">-</span>self<span class="token punctuation">.</span>center<span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">)</span>
        <span class="token punctuation">[</span>x<span class="token punctuation">,</span>y<span class="token punctuation">,</span>z<span class="token punctuation">]</span><span class="token operator">=</span>np<span class="token punctuation">.</span>dot<span class="token punctuation">(</span>self<span class="token punctuation">.</span>transform<span class="token punctuation">,</span>src_pos<span class="token punctuation">)</span>
        x<span class="token operator">=</span><span class="token builtin">int</span><span class="token punctuation">(</span>x<span class="token punctuation">)</span><span class="token operator">+</span>self<span class="token punctuation">.</span>center<span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">]</span>
        y<span class="token operator">=</span><span class="token builtin">int</span><span class="token punctuation">(</span>y<span class="token punctuation">)</span><span class="token operator">+</span>self<span class="token punctuation">.</span>center<span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">]</span>

<span class="token keyword">if</span> x<span class="token operator">&gt;=</span>self<span class="token punctuation">.</span>rows <span class="token operator">or</span> y<span class="token operator">&gt;=</span>self<span class="token punctuation">.</span>cols <span class="token operator">or</span> x<span class="token operator">&lt;</span><span class="token number">0</span> <span class="token operator">or</span> y<span class="token operator">&lt;</span><span class="token number">0</span><span class="token punctuation">:</span>
          self<span class="token punctuation">.</span>dst<span class="token punctuation">[</span>i<span class="token punctuation">]</span><span class="token punctuation">[</span>j<span class="token punctuation">]</span><span class="token operator">=</span><span class="token number">255</span>
        <span class="token keyword">else</span><span class="token punctuation">:</span>
          self<span class="token punctuation">.</span>dst<span class="token punctuation">[</span>i<span class="token punctuation">]</span><span class="token punctuation">[</span>j<span class="token punctuation">]</span><span class="token operator">=</span>self<span class="token punctuation">.</span>src<span class="token punctuation">[</span>x<span class="token punctuation">]</span><span class="token punctuation">[</span>y<span class="token punctuation">]</span>

if __name__=='__main__': src=cv2.imread('123.jpg',0) rows = src.shape[0] cols = src.shape[1]　　cv2.imshow('src', src)
img=Img(src,rows,cols,[248,231]) img.Move(-30, -50) # 平移　　img.Process()
cv2.imshow('dst', img.dst)　　cv2.waitKey(0)

　　旋转

import cv2
import math
import numpy as np

class Img:
  def __init__(self,image,rows,cols,center=[0,0]):

    self<span class="token punctuation">.</span>src<span class="token operator">=</span>image <span class="token comment">#原始图像</span>
    self<span class="token punctuation">.</span>rows<span class="token operator">=</span>rows <span class="token comment">#原始图像的行</span>
    self<span class="token punctuation">.</span>cols<span class="token operator">=</span>cols <span class="token comment">#原始图像的列</span>
    self<span class="token punctuation">.</span>center<span class="token operator">=</span>center <span class="token comment">#旋转中心，默认是[0,0]</span>

def Move(self,delta_x,delta_y): #平移

<span class="token comment">#delta_x&gt;0左移，delta_x&lt;0右移</span>
    <span class="token comment">#delta_y&gt;0上移，delta_y&lt;0下移</span>
    self<span class="token punctuation">.</span>transform<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span>delta_x<span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">,</span>delta_y<span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>

def Zoom(self,factor): #缩放

<span class="token comment">#factor&gt;1表示缩小；factor&lt;1表示放大</span>
    self<span class="token punctuation">.</span>transform<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span>factor<span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span>factor<span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>

def Horizontal(self): #水平镜像

self<span class="token punctuation">.</span>transform<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token operator">-</span><span class="token number">1</span><span class="token punctuation">,</span>self<span class="token punctuation">.</span>cols<span class="token operator">-</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>

def Vertically(self): #垂直镜像

self<span class="token punctuation">.</span>transform<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span><span class="token operator">-</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span>self<span class="token punctuation">.</span>rows<span class="token operator">-</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>

def Rotate(self,beta): #旋转

<span class="token comment">#beta&gt;0表示逆时针旋转；beta&lt;0表示顺时针旋转</span>
    self<span class="token punctuation">.</span>transform<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span><span class="token punctuation">[</span>math<span class="token punctuation">.</span>cos<span class="token punctuation">(</span>beta<span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token operator">-</span>math<span class="token punctuation">.</span>sin<span class="token punctuation">(</span>beta<span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
                 <span class="token punctuation">[</span>math<span class="token punctuation">.</span>sin<span class="token punctuation">(</span>beta<span class="token punctuation">)</span><span class="token punctuation">,</span> math<span class="token punctuation">.</span>cos<span class="token punctuation">(</span>beta<span class="token punctuation">)</span><span class="token punctuation">,</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span>
                 <span class="token punctuation">[</span>  <span class="token number">0</span><span class="token punctuation">,</span>        <span class="token number">0</span><span class="token punctuation">,</span>     <span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">]</span><span class="token punctuation">)</span>

def Process(self):

self<span class="token punctuation">.</span>dst<span class="token operator">=</span>np<span class="token punctuation">.</span>zeros<span class="token punctuation">(</span><span class="token punctuation">(</span>self<span class="token punctuation">.</span>rows<span class="token punctuation">,</span>self<span class="token punctuation">.</span>cols<span class="token punctuation">)</span><span class="token punctuation">,</span>dtype<span class="token operator">=</span>np<span class="token punctuation">.</span>uint8<span class="token punctuation">)</span>
    <span class="token keyword">for</span> i <span class="token keyword">in</span> <span class="token builtin">range</span><span class="token punctuation">(</span>self<span class="token punctuation">.</span>rows<span class="token punctuation">)</span><span class="token punctuation">:</span>
      <span class="token keyword">for</span> j <span class="token keyword">in</span> <span class="token builtin">range</span><span class="token punctuation">(</span>self<span class="token punctuation">.</span>cols<span class="token punctuation">)</span><span class="token punctuation">:</span>
        src_pos<span class="token operator">=</span>np<span class="token punctuation">.</span>array<span class="token punctuation">(</span><span class="token punctuation">[</span>i<span class="token operator">-</span>self<span class="token punctuation">.</span>center<span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">]</span><span class="token punctuation">,</span>j<span class="token operator">-</span>self<span class="token punctuation">.</span>center<span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">,</span><span class="token number">1</span><span class="token punctuation">]</span><span class="token punctuation">)</span>
        <span class="token punctuation">[</span>x<span class="token punctuation">,</span>y<span class="token punctuation">,</span>z<span class="token punctuation">]</span><span class="token operator">=</span>np<span class="token punctuation">.</span>dot<span class="token punctuation">(</span>self<span class="token punctuation">.</span>transform<span class="token punctuation">,</span>src_pos<span class="token punctuation">)</span>
        x<span class="token operator">=</span><span class="token builtin">int</span><span class="token punctuation">(</span>x<span class="token punctuation">)</span><span class="token operator">+</span>self<span class="token punctuation">.</span>center<span class="token punctuation">[</span><span class="token number">0</span><span class="token punctuation">]</span>
        y<span class="token operator">=</span><span class="token builtin">int</span><span class="token punctuation">(</span>y<span class="token punctuation">)</span><span class="token operator">+</span>self<span class="token punctuation">.</span>center<span class="token punctuation">[</span><span class="token number">1</span><span class="token punctuation">]</span>

<span class="token keyword">if</span> x<span class="token operator">&gt;=</span>self<span class="token punctuation">.</span>rows <span class="token operator">or</span> y<span class="token operator">&gt;=</span>self<span class="token punctuation">.</span>cols <span class="token operator">or</span> x<span class="token operator">&lt;</span><span class="token number">0</span> <span class="token operator">or</span> y<span class="token operator">&lt;</span><span class="token number">0</span><span class="token punctuation">:</span>
          self<span class="token punctuation">.</span>dst<span class="token punctuation">[</span>i<span class="token punctuation">]</span><span class="token punctuation">[</span>j<span class="token punctuation">]</span><span class="token operator">=</span><span class="token number">255</span>
        <span class="token keyword">else</span><span class="token punctuation">:</span>
          self<span class="token punctuation">.</span>dst<span class="token punctuation">[</span>i<span class="token punctuation">]</span><span class="token punctuation">[</span>j<span class="token punctuation">]</span><span class="token operator">=</span>self<span class="token punctuation">.</span>src<span class="token punctuation">[</span>x<span class="token punctuation">]</span><span class="token punctuation">[</span>y<span class="token punctuation">]</span>

if __name__=='__main__': src=cv2.imread('123.jpg',0) rows = src.shape[0] cols = src.shape[1]　　cv2.imshow('src', src)
img=Img(src,rows,cols,[248,231]) img.Rotate(-math.radians(180)) #旋转 img.Process() cv2.imshow('dst', img.dst)　　cv2.waitKey(0)

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[python] 基于python的空域变换

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