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.
Anaconda - Python 3.7
Choose an image and save it as a filename.jpg.
Use imread(filename, flags) to read the file.
Use imshow(window_name, image) to display the image.
Use imwrite(filename, image) to write the image.
End the program and close the output image windows.
Convert BGR and RGB to HSV and GRAY
Convert HSV to RGB and BGR
Convert RGB and BGR to YCrCb
Split and Merge RGB Image
Split and merge HSV Image
### Developed By: B.BALAMURUGAN
### Register Number: 212222230016
import cv2
import numpy as np
img=cv2.imread("bala.jpg")
img=cv2.resize(img,(400,300))
cv2.imshow("BALA",img)
cv2.waitKey(0) |
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import cv2
img=cv2.imread('bala.jpg')
cv2.imwrite('bala.jpg',img) |
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import cv2
img=cv2.imread('bala.jpg')
print(img.shape) |
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import cv2
import random
img=cv2.imread('bala.jpg')
img=cv2.resize(img,(400,300))
for i in range(150,200):
for j in range(img.shape[1]):
img[i][j]=[random.randint(0,255),
random.randint(0,255),
random.randint(0,255)]
cv2.imshow('BALA',img)
cv2.waitKey(0)
cv2.destroyAllWindows() |
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import cv2
img=cv2.imread('bala.jpg')
img=cv2.resize(img,(400,300))
tag=img[150:200,110:160]
img[110:160,150:200]=tag
cv2.imshow('bala',img)
cv2.waitKey(0)
cv2.destroyAllWindows() |
import cv2
img = cv2.imread('bala.jpg',1)
img=cv2.resize(img,(400,300))
cv2.imshow('bala1',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()
import cv2
img = cv2.imread('bala.jpg')
img=cv2.resize(img,(400,300))
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()
import cv2
img = cv2.imread('bala.jpg')
img=cv2.resize(img,(400,300))
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()
import cv2
img = cv2.imread('bala.jpg')
img=cv2.resize(img,(400,300))
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()
import cv2
img = cv2.imread("bala.jpg")
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()
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.