51 lines
1.4 KiB
Python
51 lines
1.4 KiB
Python
import numpy as np
|
|
import cv2 as cv
|
|
import matplotlib.pyplot as plt
|
|
from sympy import im
|
|
|
|
|
|
def global_linear_transmation(im, c=0, d=255):
|
|
img = im.copy()
|
|
maxV = img.max()
|
|
minV = img.min()
|
|
if maxV == minV:
|
|
return np.uint8(img)
|
|
for i in range(img.shape[0]):
|
|
for j in range(img.shape[1]):
|
|
img[i, j] = ((d - c) / (maxV - minV)) * (img[i, j] - minV) + c
|
|
return np.uint8(img)
|
|
|
|
|
|
def histogram_equalization(im):
|
|
return np.uint8(cv.equalizeHist(im))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
im = cv.imread(r"E:\OneDrive\Code\Python\2\iris.jpg", cv.IMREAD_GRAYSCALE)
|
|
im1 = global_linear_transmation(im, 0, 150)
|
|
im2 = global_linear_transmation(im, 100)
|
|
im3 = global_linear_transmation(im, 50, 150)
|
|
im4 = histogram_equalization(im)
|
|
plt.figure()
|
|
plt.subplot(241)
|
|
plt.imshow(im1, cmap="gray")
|
|
plt.title("darker")
|
|
plt.subplot(242)
|
|
plt.imshow(im2, cmap="gray")
|
|
plt.title("brighter")
|
|
plt.subplot(243)
|
|
plt.imshow(im3, cmap="gray")
|
|
plt.title("lower contrast")
|
|
plt.subplot(244)
|
|
plt.imshow(im4, cmap="gray")
|
|
plt.title("equalized")
|
|
plt.subplot(245)
|
|
plt.hist(im1.flatten(), 256, [0, 256])
|
|
plt.subplot(246)
|
|
plt.hist(im2.flatten(), 256, [0, 256])
|
|
plt.subplot(247)
|
|
plt.hist(im3.flatten(), 256, [0, 256])
|
|
plt.subplot(248)
|
|
plt.hist(im4.flatten(), 256, [0, 256])
|
|
plt.show()
|