理想高通滤波实现 python opencv
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import numpy as np
import cv2
from matplotlib import pyplot as plt
plt.rcparams[‘font.sans-serif']=[‘simhei']
plt.rcparams[‘axes.unicode_minus'] = false
i = cv2.imread(‘capture3.png')
cv2.imshow(‘original',i)
(r,g,b) = cv2.split(i)
i = cv2.merge([b,g,r])
j = np.double(cv2.cvtcolor(i,cv2.color_rgb2gray))
d1 = 30
d2 = 60
d3 = 160
fuv = np.fft.fftshift(np.fft.fft2(j))
print(‘fuv',fuv)
print(i.shape)
m,n = i.shape[0],i.shape[1]
xo = np.floor(m/2)
yo = np.floor(n/2)
h1 = np.zeros((m,n))
h2 = np.zeros((m,n))
h3 = np.zeros((m,n))
for i in range(m):
for j in range(n):
d = np.sqrt((i-xo)**2+(j-yo)**2)
if d>=d1:
h1[i,j]=1
else:
h1[i,j]=0
if d>=d2:
h2[i,j]=1
else:
h2[i,j]=0
if d>=d3:
h3[i,j]=1
else:
h3[i,j]=0
guv1 = h1*fuv
guv2 = h2*fuv
guv3 = h3*fuv
g1 = np.fft.ifftshift(guv1)
g1 = np.uint8(np.real(np.fft.ifft2(g1)))
print(‘g1',g1)
g2 = np.fft.ifftshift(guv2)
g2 = np.uint8(np.real(np.fft.ifft2(g2)))
print(‘g2',g2)
g3 = np.fft.ifftshift(guv3)
g3 = np.uint8(np.real(np.fft.ifft2(g3)))
print(‘g3',g3)
plt.subplot(2,2,1),plt.imshow(i),plt.title(‘原图像')
plt.subplot(2,2,2),plt.imshow(g1),plt.title(‘d0=30')
plt.subplot(2,2,3),plt.imshow(g2),plt.title(‘d0=60')
plt.subplot(2,2,4),plt.imshow(g3),plt.title(‘d0=160')
plt.show()
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效果：
总结
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原文链接：https://blog.csdn.net/qq_34725005/article/details/82695309