harikrishna7327/color-conversion

Color Conversion

AIM

To perform the color conversion between RGB, BGR, HSV, and YCbCr color models.

Software Required:

Anaconda - Python 3.7

Algorithm:

Step1:

import opencv.

Step2:

Read the original Image.

Step3:

Store the required conversion of the image in a variable.

Step4:

Show the image stored in the given variable.

Step5:

Destroy all the windows and end the program.

## Program:
 Developed BY:M.Harikrishna
 Register Number:212221230059.
# i) Convert BGR and RGB to HSV and GRAY

import cv2
house_color_image= cv2.imread('house.jpg')
cv2.imshow ('Original image', house_color_image)
hsv_image= cv2.cvtColor (house_color_image, cv2.COLOR_BGR2HSV)
cv2.imshow('BGR2HSV', hsv_image)
hsv_image1 = cv2.cvtColor (house_color_image, cv2.COLOR_RGB2HSV)
cv2.imshow('RGB2HSV', hsv_image1)
gray_image= cv2.cvtColor (house_color_image, cv2.COLOR_BGR2GRAY)
cv2.imshow('BGR2GRAY', gray_image)
gray_image1 = cv2.cvtColor (house_color_image, cv2.COLOR_RGB2GRAY)
cv2.imshow('RGB2GRAY', gray_image1)
cv2.waitKey(0)
cv2.destroyAllWindows()




# ii)Convert HSV to RGB and BGR

import cv2
house_HSV_image= cv2.imread('house.jpg')
cv2.imshow('Original HSV image',house_HSV_image)
RGB_image = cv2.cvtColor(house_HSV_image, cv2.COLOR_HSV2RGB)
cv2.imshow('HSV to RGB',RGB_image )
BGR_image = cv2.cvtColor(house_HSV_image, cv2.COLOR_HSV2BGR)
cv2.imshow('HSV to BGR',BGR_image)
cv2.waitKey(0)
cv2.destroyAllwindows()




# iii)Convert RGB and BGR to YCrCb

import cv2
houseImage = cv2.imread('house.jpg')
cv2.imshow('Original HSV Image',houseImage)
YCrCb_image = cv2.cvtColor(houseImage, cv2.COLOR_RGB2YCrCb)
cv2.imshow('BGR2HSV',YCrCb_image)
YCrCb_image1 = cv2.cvtColor(houseImage, cv2.COLOR_BGR2YCrCb)
cv2.imshow('RGB2HSV',YCrCb_image1)
cv2.waitKey(0)
cv2.destroyAllWindows()



# iv)Split and Merge RGB Image

import cv2
image = cv2.imread('house.jpg')
blue = image[:,:,0]
green = image[:,:,1]
red = image[:,:,2]
cv2.imshow('B-Channel',blue)
cv2.imshow('G-Channel',green)
cv2.imshow('R-Channel',red)
mergeBgr = cv2.merge((blue,green,red))
cv2.imshow('Merged BGR image',mergeBgr)
cv2.waitKey(0)
cv2.destroyAllWindows()


# v) Split and merge HSV Image

import cv2
image = cv2.imread('house.jpg')
hsv = cv2.cvtColor(image,cv2.COLOR_BGR2HSV)
h,s,v = cv2.split(hsv)
cv2.imshow('Hue - Image',h)
cv2.imshow('Saturation - Image',s)
cv2.imshow('Gray - Image',v)
mergedHSV = cv2.merge((h,s,v))
cv2.imshow('Merged HSV Image',mergedHSV)
cv2.waitKey(0)
cv2.destroyAllWindows()

Output:

i) BGR and RGB to HSV and GRAY

ii) HSV to RGB and BGR

iii) RGB and BGR to YCrCb

iv) Split and merge RGB Image

v) Split and merge HSV Image

Result:

Thus the color conversion was performed between RGB, HSV and YCbCr color models.