如何从直方图均衡生成图像？

Question

I'm trying to implement the Histogram Equalization by myself, I import the image by the following code: image = cv2.imread(img_path, 0) , then I generated a histogram by hist = cv2.calcHist([image], [0], None, [256], [0, 256]) plt.hist(image.ravel(), 256) . What I want to do is to generate the image from the histogram and save the image to the disk. How to deal with that? Thanks!

Answer 1

Your question is ambiguous. what I understood you want generate histogram and Histogram for Equalization and save it on your disk, Am I right?

for this purpose:

import cv2
import numpy as np
from matplotlib import pyplot as plt
  
# reading the input image
img = cv2.imread('car.jpg')
  
# define colors to plot the histograms
colors = ('b','g','r')
  
# compute and plot the image histograms
for i,color in enumerate(colors):
    hist = cv2.calcHist([img],[i],None,[256],[0,256])
    plt.plot(hist,color = color)
plt.title('Image Histogram GFG')
plt.show()

for creating a Histograms Equalization:

# read a image using imread
img = cv2.imread('car.jpg', 0)
  
# creating a Histograms Equalization
# of a image using cv2.equalizeHist()
equ = cv2.equalizeHist(img)
  
# stacking images side-by-side
res = np.hstack((img, equ))
  
# show image input vs output
plt.imshow( res)
plt.show()

for saving the output you just need to use this:

plt.savefig(file_path, dpi=300)