# Developed By:DHANUMALYA D
# Register Number:212222230030

import cv2
import matplotlib.pyplot as plt
Gray_image=cv2.imread('fro.png')
plt.imshow(Gray_image)
plt.show()
Color_image=cv2.imread('dip1.jpeg')
plt.imshow(Color_image)
plt.show()

# Write your code to find the histogram of gray scale image and color image channels.

hist=cv2.calcHist([Gray_image],[0],None,[256],[0,256])
plt.figure()
plt.title("Histogram")
plt.xlabel("gray_scale value")
plt.ylabel("pixel count")
plt.stem(hist)
plt.show()

# Display the histogram of gray scale image and any one channel histogram from color image

hist1=cv2.calcHist([Color_image],[1],None,[256],[0,256])
plt.figure()
plt.title("Histogram")
plt.xlabel("color_scale value")
plt.ylabel("pixel count")
plt.stem(hist1)
plt.show()

# Write the code to perform histogram equalization of the image. 

equ=cv2.equalizeHist(cv2.imread('dip1.jpeg',0))
equ=cv2.cvtColor(equ,cv2.COLOR_BGR2RGB)
plt.title("Equalised Image")
plt.axis("off")
plt.imshow(equ)
plt.show()