OpenCV Python Histogram Equalization and CLAHE

[@kevinwoodrobotics]

Code and Doc: kevinwoodrobotics.com/product/opencv-python-histogram-equalization-and-clahe/
OpenCV Python Playlist Code and Doc: kevinwoodrobotics.com/product/opencv-python-tutorials-full-playlist/

[@colourftw]

I like the intro!

[@kevinwoodrobotics]

Thanks

[@d_antisocial00]

💕💕👩🏻‍💻

[@muhammadamarussalam6500]

can i get the code?

[@kevinwoodrobotics]

import cv2 as cv
import numpy as np
import matplotlib.pyplot as plt
import os
def histogramEqual():
root = os.getcwd()
imgPath = os.path.join(root,'demoImages\\badQuality.jpg')
img = cv.imread(imgPath,cv.IMREAD_GRAYSCALE)
hist = cv.calcHist([img],[0],None,[256],[0,256])
cdf = hist.cumsum()
cdfNorm = cdf * float(hist.max()) / cdf.max()
plt.figure()
plt.subplot(231)
plt.imshow(img,cmap='gray')
plt.subplot(234)
plt.plot(hist)
plt.plot(cdfNorm,color='b')
plt.xlabel('pixel intesity')
plt.ylabel('# of pixels')
equImg = cv.equalizeHist(img)
equhist = cv.calcHist([equImg],[0],None,[256],[0,256])
equcdf = equhist.cumsum()
equcdfNorm = equcdf * float(equhist.max()) / equcdf.max()
plt.subplot(232)
plt.imshow(equImg,cmap='gray')
plt.subplot(235)
plt.plot(equhist)
plt.plot(equcdfNorm,color='b')
plt.xlabel('pixel intesity')
plt.ylabel('# of pixels')
claheObj = cv.createCLAHE(clipLimit=5,tileGridSize=(8,8))
claheImg = claheObj.apply(img)
clahehist = cv.calcHist([claheImg],[0],None,[256],[0,256])
clahecdf = clahehist.cumsum()
clahecdfNorm = clahecdf * float(clahehist.max()) / clahecdf.max()
plt.subplot(233)
plt.imshow(claheImg,cmap='gray')
plt.subplot(236)
plt.plot(clahehist)
plt.plot(clahecdfNorm,color='b')
plt.xlabel('pixel intesity')
plt.ylabel('# of pixels')
plt.show()
if __name__ == '__main__':
histogramEqual()