将代码翻译为python代码:%% 同态滤波 function HomomorphicFilter() I=imread('2.jpg'); if(size(I,3)~=1) I=double(rgb2gray(I)); end [M,N]=size(I); rL=0.5; rH=4.7;%可根据需要效果调整参数 c=2; d0=10; I1=log(I+1);%取对数 FI=fft2(I1);%傅里叶变换 n1=floor(M/2); n2=floor(N/2); D=zeros(M,N); H=zeros(M,N); for i=1:M for j=1:N D(i,j)=((i-n1).^2+(j-n2).^2); H(i,j)=(rH-rL).*(exp(c*(-D(i,j)./(d0^2))))+rL;%高斯同态滤波 end end % imshow(H/max(H(:))); I2=ifft2(H.*FI);%傅里叶逆变换 I3=real(exp(I2)); figure,imshow(I/max(I(:))),title('同态滤波增强前'); figure,imshow(I3/max(I3(:))),title('同态滤波增强后'); end
时间: 2023-06-27 10:05:06 浏览: 117
```python
import cv2
import numpy as np
def HomomorphicFilter():
I = cv2.imread('2.jpg')
if I.shape[2] != 1:
I = cv2.cvtColor(I, cv2.COLOR_BGR2GRAY).astype(np.float64)
else:
I = I.astype(np.float64)
M, N = I.shape
rL = 0.5
rH = 4.7
c = 2
d0 = 10
I1 = np.log(I + 1)
FI = np.fft.fft2(I1)
n1 = np.floor(M / 2)
n2 = np.floor(N / 2)
D = np.zeros((M, N))
H = np.zeros((M, N))
for i in range(M):
for j in range(N):
D[i, j] = ((i - n1) ** 2 + (j - n2) ** 2)
H[i, j] = (rH - rL) * (np.exp(c * (-D[i, j] / (d0 ** 2)))) + rL
I2 = np.fft.ifft2(H * FI)
I3 = np.real(np.exp(I2))
cv2.imshow('Homomorphic Filter Original', I / 255.)
cv2.imshow('Homomorphic Filter Enhanced', I3 / 255.)
cv2.waitKey(0)
cv2.destroyAllWindows()
```