COLOUR-CONVERSION

AIM:

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

SOFTWARE REQUIRED:

Anaconda - Python 3.7

ALGORITHM:

Step1:

Import cv2 and save and image as filename.png

Step2:

Use imread(filename, flags) to read the file

Step3:

Use cv2.cvtColor(src, code, dst, dstCn) to convert an image from one color space to another.

Step4:

Split and merge the image using cv2.split and cv2.merge commands.

Step5:

End the program and close the output image windows.

PROGRAM:

Developed By : Shrruthilaya G

i) Original Image

import cv2
uni = cv2.imread('friends.png')
cv2.imshow('Original image',uni)
cv2.waitKey(0)
cv2. destroyAllWindows()

ii) Convert BGR to HSV

import cv2
uni = cv2.imread('friends.png')
hsv_image = cv2.cvtColor(uni, cv2.COLOR_BGR2HSV)
cv2.imshow('BGR2HSV' ,hsv_image )
cv2.waitKey(0)
cv2. destroyAllWindows()

iii)Convert BGR to GRAY

import cv2
uni = cv2.imread('friends.png')
gray_image = cv2.cvtColor(uni, cv2.COLOR_BGR2GRAY)
cv2.imshow( 'BGR2GRAY', gray_image)
cv2.waitKey(0)
cv2. destroyAllWindows()

iv) Convert RGB to HSV

import cv2
uni = cv2.imread('friends.png')
hsv_image = cv2.cvtColor(uni, cv2.COLOR_RGB2HSV)
cv2.imshow('RGB2HSV', hsv_image)
cv2.waitKey(0)
cv2. destroyAllWindows()

v) Convert RGB to GRAY

import cv2
uni = cv2.imread('friends.png')
gray_image1 = cv2.cvtColor (uni, cv2.COLOR_RGB2GRAY)
cv2.imshow('RGB2GRAY', gray_image1)
cv2.waitKey(0)
cv2. destroyAllWindows()

vi) Convert HSV to RGB

import cv2
uni = cv2.imread('friends.png')
RGB_image = cv2.cvtColor(uni,cv2.COLOR_HSV2RGB)
cv2.imshow('HSV to RGB',RGB_image )
cv2.waitKey(0)
cv2.destroyAllWindows()

vii) Convert HSV to BGR

import cv2
uni = cv2.imread('friends.png')
BGR_image = cv2.cvtColor(uni,cv2.COLOR_HSV2BGR)
cv2.imshow('HSV to BGR',BGR_image)
cv2.waitKey(0)
cv2.destroyAllWindows()

viii) Convert RGB to YCrCb

import cv2
uni = cv2.imread('friends.png')
YCrCb_image = cv2.cvtColor(uni, cv2.COLOR_RGB2YCrCb)
cv2.imshow('RGB2YCrCb',YCrCb_image)
cv2.waitKey(0)
cv2.destroyAllWindows()

ix) Convert BGR to YCrCb

import cv2
uni = cv2.imread('friends.png')
YCrCb_image = cv2.cvtColor(uni, cv2.COLOR_BGR2YCrCb)
cv2.imshow('BGR2YCrCb',YCrCb_image)
cv2.waitKey(0)
cv2.destroyAllWindows()

x) Merge RGB Image

import cv2
uni = cv2.imread('friends.png')
blue=uni[:,:,0]
green=uni[:,:,1]
red=uni[:,:,2]
cv2.imshow('B-Channel',blue)
cv2.imshow('G-Channel',green)
cv2.imshow('R-Channel',red)

merged_BGR=cv2.merge((blue,green,red))
cv2.imshow('Merged BGR Image',merged_BGR)
cv2.waitKey(0)
cv2.destoryAllWindows()

xi) Split HSV Image

import cv2
uni = cv2.imread('friends.png')
hsv=cv2.cvtColor(uni,cv2.COLOR_BGR2HSV)
h,s,v=cv2.split(hsv)
cv2.imshow("Hue-image",h)
cv2.imshow("Saturation-image",s)
cv2.imshow("gray-image",v)

xii) Merge HSV Image

Merged_HSV=cv2.merge((h,s,v))
cv2.imshow('Merged HSV Image',Merged_HSV)
cv2.waitKey(0)
cv2.destoryAllWindows()

OUTPUT:

i) Original Image

ii) Convert BGR to HSV

iii)Convert BGR to GRAY

iv) Convert RGB to HSV

v) Convert RGB to GRAY

vi) Convert HSV to RGB

vii) Convert HSV to BGR

viii) Convert RGB to YCrCb

ix) Convert BGR to YCrCb

x) Merge RGB Image

xi) Split HSV Image and xii) Merge HSV Image

RESULT:

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

shrruthilaya-gangadaran / color-conversion Goto Github PK

color-conversion's Introduction

COLOUR-CONVERSION

AIM:

SOFTWARE REQUIRED:

ALGORITHM:

Step1:

Step2:

Step3:

Step4:

Step5:

PROGRAM:

i) Original Image

ii) Convert BGR to HSV

iii)Convert BGR to GRAY

iv) Convert RGB to HSV

v) Convert RGB to GRAY

vi) Convert HSV to RGB

vii) Convert HSV to BGR

viii) Convert RGB to YCrCb

ix) Convert BGR to YCrCb

x) Merge RGB Image

xi) Split HSV Image

xii) Merge HSV Image

OUTPUT:

i) Original Image

ii) Convert BGR to HSV

iii)Convert BGR to GRAY

iv) Convert RGB to HSV

v) Convert RGB to GRAY

vi) Convert HSV to RGB

vii) Convert HSV to BGR

viii) Convert RGB to YCrCb

ix) Convert BGR to YCrCb

x) Merge RGB Image

xi) Split HSV Image and xii) Merge HSV Image

RESULT:

color-conversion's People

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