直方图均衡python

要在Python中进行直方图均衡化，你可以使用numpy和skimage库来计算直方图，也可以使用OpenCV库来实现直方图均衡化。下面是两种方法的示例代码：

方法一：使用numpy和skimage库

import numpy as np
from skimage import exposure, data

image = data.camera() * 1.0

hist, bins_center = np.histogram(image, bins=2)  # 用numpy包计算直方图
hist2, bins2 = exposure.histogram(image, nbins=2)  # 用skimage计算直方图

print(hist)
print(bins_center)
print(hist2)
print(bins2)

方法二：使用OpenCV库

import cv2

img = cv2.imread('图像路径', 0)
equ = cv2.equalizeHist(img)
cv2.imshow('equ', equ)

请注意，在方法二中，你需要将图像的路径替换为你要进行直方图均衡化的图像的路径。这个方法使用OpenCV的equalizeHist函数来实现直方图均衡化，并通过imshow函数显示均衡化后的图像。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
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