# Developed By:G.DHANASEKAR
# Register Number:212220230009
import cv2
import matplotlib.pyplot as plt

# Write your code to find the histogram of gray scale image and color image channels.
import cv2
import matplotlib.pyplot as plt
bw = cv2.imread("tony.jpg")
img = cv2.imread("bike.jpg")
plt.imshow(bw)
plt.show()
plt.imshow(img)
plt.show()
plt.figure()
plt.title("Histogram")
plt.xlabel("Grayscale value")
plt.ylabel("pixel count")
hist = cv2.calcHist([bw],[0],None,[256],[0,256])
plt.stem(hist)
plt.show()

# Display the histogram of gray scale image and any one channel histogram from color image
Color_image=cv2.imread('tony.jpg')
plt.imshow(Color_image)
plt.show()
hist1=cv2.calcHist([Color_image],[1],None,[256],[0,256])
plt.figure()
plt.title("Histogram")
plt.xlabel('Intensity value')
plt.ylabel('pixel count')
plt.stem(hist1)
plt.show()

# Write the code to perform histogram equalization of the image. 
Gray_image=cv2.imread('tony.jpg',0)
equ=cv2.equalizeHist(Gray_image)
cv2.imshow('Gray Image',Gray_image)
cv2.imshow('Equalized Image',equ)
cv2.waitKey(0)
cv2.destroyAllWindows()