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: Dharini PV
# Register Number: 212222240024

i) Convert BGR and RGB to HSV and GRAY

import cv2
houseImage = cv2.imread('car.jpg')
cv2.imshow('212222240024_DhariniPV',houseImage)
hsvImage = cv2.cvtColor(houseImage,cv2.COLOR_BGR2HSV)
cv2.imshow('BGR2HSV',hsvImage)
hsvImage1=cv2.cvtColor(houseImage,cv2.COLOR_RGB2HSV)
cv2.imshow('RGB2HSV',hsvImage1)
grayImage = cv2.cvtColor(houseImage,cv2.COLOR_BGR2GRAY)
cv2.imshow('BGR2GRAY',grayImage)
grayImage1 = cv2.cvtColor(houseImage,cv2.COLOR_RGB2GRAY)
cv2.imshow('RGB2GRAY',grayImage1)
cv2.waitKey(0)
cv2.destroyAllWindows()

ii)Convert HSV to RGB and BGR

import cv2
houseHSVImage = cv2.imread('car.jpg')
cv2.imshow('212222240024_DhariniPV',houseHSVImage)
RGBImage = cv2.cvtColor(houseHSVImage,cv2.COLOR_HSV2RGB)
cv2.imshow('BGR2HSV',RGBImage)
BGRImage=cv2.cvtColor(houseHSVImage,cv2.COLOR_HSV2BGR)
cv2.imshow('RGB2HSV',BGRImage)
cv2.waitKey(0)
cv2.destroyAllWindows()

iii)Convert RGB and BGR to YCrCb

import cv2
houseImage = cv2.imread('car.jpg')
cv2.imshow('212222240024_DhariniPV',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('car.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('car.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('212222240024_DhariniPV',mergedHSV)
cv2.waitKey(0)
cv2.destroyAllWindow

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.

dharinipv / color-conversion Goto Github PK

color-conversion's Introduction

COLOR-CONVERSION

AIM

Software Required:

Algorithm:

Step1:

Step2:

Step3:

Step4:

Step5:

Program:

i) Convert BGR and RGB to HSV and GRAY

ii)Convert HSV to RGB and BGR

iii)Convert RGB and BGR to YCrCb

iv)Split and Merge RGB Image

v) Split and merge HSV Image

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:

color-conversion's People

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