# Developed By:Hanumanth
# Register Number:212222240016

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

import cv2
import matplotlib.pyplot as plt
Gray_image = cv2.imread('350.jpeg')
color_image = cv2.imread('hunter.jpeg')
plt.imshow(Gray_image)
plt.show()
plt.imshow(color_image)
plt.show()



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

import cv2
import matplotlib.pyplot as plt
gray_image = cv2.imread("350.jpeg")
color_image = cv2.imread("hunter.jpeg")
gray_hist = cv2.calcHist([gray_image],[0],None,[256],[0,256])
color_hist = cv2.calcHist([color_image],[0],None,[256],[0,256])
plt.figure()
plt.imshow(gray_image)
plt.show()
plt.title("Histogram")
plt.xlabel("Grayscale Value")
plt.ylabel("Pixel Count")
plt.stem(gray_hist)
plt.show()
plt.imshow(color_image)
plt.show()
plt.title("Histogram of Color Image - Green Channel")
plt.xlabel("Intensity Value")
plt.ylabel("Pixel Count")
plt.stem(color_hist)
plt.show()


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

import cv2
import matplotlib.pyplot as plt
gray_image = cv2.imread('350.jpeg',0)
equ=cv2.equalizeHist(gray_image)
cv2.imshow('Gray image',gray_image)
cv2.imshow('Equalized Image',equ)
cv2.waitKey(0)
cv2.destroyAllWindows()