Color Conversion

Aim:

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

Software Required:

Anaconda - Python 3.7

Algorithm:

Step 1:

Import cv2 library.

Step 2:

Use cv2.cvtcolor() to convert color in required image.

Step 3:

Use .imshow() to display and .imwrite() to save.

Step 4:

Use split() to disperse color into separate channels.

Step 5:

Use merge() to combine those separate channels into color.

Program:

Developed By: Mohan Raj S
Register Number: 212221230065

i) Convert BGR and RGB to HSV and GRAY:

import cv2
image = cv2.imread('bike.jpg')
cv2.imshow('Original image - Mohan Raj S 212221230065',image)
#BGR2HSV
hsv_image = cv2.cvtColor(image,cv2.COLOR_BGR2HSV)
cv2.imshow('BGR2HSV',hsv_image)
#RGB2HSV
hsv_image1 = cv2.cvtColor(image,cv2.COLOR_RGB2HSV)
cv2.imshow('RGB2HSV',hsv_image1)
#BGR2Gray
gray_image = cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
cv2.imshow('BGR2GRAY',gray_image)
#RGB2Gray
gray_image1 = cv2.cvtColor(image,cv2.COLOR_RGB2GRAY)
cv2.imshow('RGB2GRAY',gray_image1)
cv2.waitKey(0)
cv2.destroyAllWindows()

ii)Convert HSV to RGB and BGR:

import cv2
image = cv2.imread('bike.jpg')
#HSV to RGB
RGB_image = cv2.cvtColor(image,cv2.COLOR_HSV2RGB)
cv2.imshow('HSV to RGB',RGB_image)
#HSV to BGR
BGR_image = cv2.cvtColor(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
image = cv2.imread('bike.jpg')
#RGB to YCrCb
YCrCb_image = cv2.cvtColor(image,cv2.COLOR_RGB2YCrCb)
cv2.imshow('RGB to YCrCb',YCrCb_image)
#BGR to YCrCb
YCrCb_image = cv2.cvtColor(image,cv2.COLOR_BGR2YCrCb)
cv2.imshow('BGR to YCrCb',YCrCb_image)

cv2.waitKey(0)
cv2.destroyAllWindows()

iv)Split and Merge RGB Image:

import cv2
image = cv2.imread('bike.jpg')
blue = image[:,:,0]
green = image[:,:,1]
red = image[:,:,2]
cv2.imshow('Blue',blue)
cv2.imshow('Green',green)
cv2.imshow('Red',red)
merge=cv2.merge((blue,green,red))
cv2.imshow('Merged Image',merge)
cv2.waitKey(0)
cv2.destroyAllWindows()

v) Split and merge HSV Image:

import cv2
image = cv2.imread('bike.jpg')
hsv = cv2.cvtColor(image, cv2.COLOR_RGB2HSV)
h,s,v = cv2.split(hsv)
cv2.imshow('Hue',h)
cv2.imshow('Saturation',s)
cv2.imshow('Value',v)
merged_HSV = cv2.merge((h,s,v))
cv2.imshow('Merged HSV Image',merged_HSV)
cv2.waitKey(0)
cv2.destoryAllWindows()

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.

mohanraj2004 / color-conversion Goto Github PK

color-conversion's Introduction

Color Conversion

Aim:

Software Required:

Algorithm:

Step 1:

Step 2:

Step 3:

Step 4:

Step 5:

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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