COLOR_CONVERSIONS_OF-IMAGE

AIM

To write a python program using OpenCV to do the following image manipulations.

i) Read, display, and write an image.

ii) Access the rows and columns in an image.

iii) Cut and paste a small portion of the image.

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

Software Required:

Anaconda - Python 3.7

Algorithm:

Step 1

Choose an image and save it as a filename.jpg

Step 2

Use imread(filename, flags) to read the file.

Step 3

Use imshow(window_name, image) to display the image.

Step 4

Use imwrite(filename, image) to write the image.

Step 5

End the program and close the output image windows.

Step 6

Convert BGR and RGB to HSV and GRAY

Step 7

Convert HSV to RGB and BGR

Step 8

Convert RGB and BGR to YCrCb

Step 9

Split and Merge RGB Image

Step 10

Split and merge HSV Image

Developed By: Shriram S
Register Number: 212222240098

IMAGE

Program:

(i) Read and display the image

#Read and display the image
import cv2
image=cv2.imread('city.jpg',1)
image=cv2.resize(image,(200,325))
cv2.imshow('Shriram',image)
cv2.waitKey(0)
cv2.destroyAllWindows()

Output:

Program:

(ii) Write the image

#Write the image
import cv2
image=cv2.imread('RGB.jpg',0)
cv2.imwrite('demos.jpg',image)

Output

Program:

(iii) Shape of the Image

#Shape of the Image
import cv2
image=cv2.imread('RGB.jpg',1)
print(image.shape)

Output

Program:

(iv) Access rows and columns

#Access rows and columns
import random
import cv2
image=cv2.imread('RGB.jpg',1)
image=cv2.resize(image,(400,400))
for i in range (150,200):
    for j in range(image.shape[1]):
        image[i][j]=[random.randint(0,255),
                    random.randint(0,255),
                    random.randint(0,255)] 
cv2.imshow('part image',image)
cv2.waitKey(0)
cv2.destroyAllWindows()

Output

Program:

(v) Cut and paste portion of image

#Cut and paste portion of image
import cv2
image=cv2.imread('RGB.jpg',1)
image=cv2.resize(image,(400,400))
tag =image[150:200,110:160]
image[110:160,150:200] = tag
cv2.imshow('partimage1',image)
cv2.waitKey(0)
cv2.destroyAllWindows()

Output

Program:

(vi) BGR and RGB to HSV and GRAY

#BGR and RGB to HSV and GRAY
import cv2
img = cv2.imread('RGB.jpg',1)
img = cv2.resize(img,(300,200))
cv2.imshow('Original Image',img)

hsv1 = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
cv2.imshow('BGR2HSV',hsv1)

hsv2 = cv2.cvtColor(img,cv2.COLOR_RGB2HSV)
cv2.imshow('RGB2HSV',hsv2)

gray1 = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
cv2.imshow('BGR2GRAY',gray1)

gray2 = cv2.cvtColor(img,cv2.COLOR_RGB2GRAY)
cv2.imshow('RGB2GRAY',gray2)

cv2.waitKey(0)
cv2.destroyAllWindows()

Original Image

Output

Program:

(vii) HSV to RGB and BGR

#HSV to RGB and BGR
import cv2
img = cv2.imread('RGB.jpg')
img = cv2.resize(img,(300,200))

img = cv2.cvtColor(img,cv2.COLOR_BGR2HSV)
cv2.imshow('Original HSV Image',img)

RGB = cv2.cvtColor(img,cv2.COLOR_HSV2RGB)
cv2.imshow('2HSV2BGR',RGB)

BGR = cv2.cvtColor(img,cv2.COLOR_HSV2BGR)
cv2.imshow('HSV2RGB',BGR)

cv2.waitKey(0)
cv2.destroyAllWindows()

Original HSV

Output

Program:

(viii) RGB and BGR to YCrCb

#RGB and BGR to YCrCb
import cv2
img = cv2.imread('RGB.jpg')
img = cv2.resize(img,(300,200))
cv2.imshow('Original RGB Image',img)

YCrCb1 = cv2.cvtColor(img, cv2.COLOR_BGR2YCrCb)
cv2.imshow('RGB-2-YCrCb',YCrCb1)

YCrCb2 = cv2.cvtColor(img, cv2.COLOR_RGB2YCrCb)
cv2.imshow('BGR-2-YCrCb',YCrCb2)

cv2.waitKey(0)
cv2.destroyAllWindows()

Output

Program:

(ix) Split and merge RGB Image

#Split and merge RGB Image
import cv2
img = cv2.imread('RGB.jpg',1)
img = cv2.resize(img,(300,200))

R = img[:,:,2]
G = img[:,:,1]
B = img[:,:,0]

cv2.imshow('R-Channel',R)
cv2.imshow('G-Channel',G)
cv2.imshow('B-Channel',B)

merged = cv2.merge((B,G,R))
cv2.imshow('Merged RGB image',merged)

cv2.waitKey(0)
cv2.destroyAllWindows()

Output

Channels

Merged RGB

Program:

(x) Split and merge HSV Image

#Split and merge HSV Image
import cv2
img = cv2.imread("RGB.jpg",1)
img = cv2.resize(img,(300,200))
img=cv2.cvtColor(img,cv2.COLOR_RGB2HSV)

H,S,V=cv2.split(img)

cv2.imshow('Hue',H)
cv2.imshow('Saturation',S)
cv2.imshow('Value',V)

merged = cv2.merge((H,S,V))
cv2.imshow('Merged',merged)

cv2.waitKey(0)
cv2.destroyAllWindows()

Output

Merged HSV

Splitted

Result:

Thus the images are read, displayed, and written ,and color conversion was performed between RGB, HSV and YCbCr color models successfully using the python program.

shriramgh / color_conversions_of-image Goto Github PK