# Developed By: SWATHIKA G
# Register Number: 212221230113
import cv2
import matplotlib.pyplot as plt

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

gray_image = cv2.imread("kitty.jpg")
color_image = cv2.imread("heist.jpg",-1)
cv2.imshow("Gray Image",gray_image)
cv2.imshow("Colour Image",color_image)
cv2.waitKey(0)
cv2.destroyAllWindows()

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

grayscale_image=cv2.imread("kitty.jpg")
colourscale_image=cv2.imread("heist.jpg")
hist=cv2.calcHist(grayscale_image,[0],None,[255],[0,255])
hist1=cv2.calcHist(colourscale_image,[1],None,[255],[0,255])
plt.figure()
plt.title("Histogram")
plt.xlabel("grayscale")
plt.ylabel("pixel count")
plt.stem(hist)
plt.show()
plt.xlabel("colour scale")
plt.ylabel("pixel count")
plt.stem(hist1)
plt.show()


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

gi=cv2.imread("kitty.jpg",0)
colorscale=cv2.imread("heist.jpg")
g=cv2.resize(gi,(500,400))
equ=cv2.equalizeHist(gi)
cv2.imshow("Grey Scale",g)
cv2.imshow("Equalization",equ)
cv2.waitKey(0)
cv2.destroyAllWindows()