opencv3.py

#!/usr/bin/env python3

import numpy as np
import cv2

image_name = "tree"
color_image = cv2.imread("images/tree.jpg",cv2.IMREAD_COLOR)

cv2.imshow("Original Image",color_image)
cv2.moveWindow("Original Image",0,0)
print(color_image.shape)

height,width,channels = color_image.shape

blue,green,red = cv2.split(color_image)

cv2.imshow("Blue Channel",blue)
cv2.moveWindow("Blue Channel",0,height)

cv2.imshow("Red Channel",red)
cv2.moveWindow("Red Channel",0,height)

cv2.imshow("Greeen Channel",green)
cv2.moveWindow("Green Channel",0,height)


# Hue: indicates the type of color that we see in a 360 degree format.
# Saturation: an indication of how saturated an individual color is 
# Value: indicates how luminous the channel is. 

hsv = cv2.cvtColor(color_image, cv2.COLOR_BGR2HSV)
h,s,v = cv2.split(hsv)
hsv_image = np.concatenate((h,s,v),axis=1)
cv2.imshow("Hue, Saturation, Value Image",hsv_image)
cv2.imshow("HSV Image",hsv)

gray_image = cv2.cvtColor(color_image, cv2.COLOR_BGR2GRAY)
cv2.imshow("Gray Image ",gray_image)

print(gray_image)

cv2.waitKey(0)
cv2.destroyAllWindows()