Page 475 - AI Ver 3.0 class 10_Flipbook
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To print the image in grayscale the change in imshow() function will be using cmap parameter:
img = cv2.imread('D:/Flower.jpg',0) #Load the image file with 0 parameter
#To open in grayscale mode
plt.imshow(img, cmap = 'gray') #cmap=gray specifies color mapping as gray
[1]: import cv2 # import OpenCV
from matplotlib import pyplot as plt # import matplotlib
import numpy as np # import numpy
img = cv2.imread('D:/Flower.jpg',0) #Load the image file with 0 parameter
#To open in grayscale mode
plt.imshow(img, cmap = 'gray') #cmap=gray specifies color mapping as gray
plt.title('Flowers') #Display this title on the top of the image
plt.axis('off')
plt.show()
Image Processing Operations
Let us learn about some of the functions we can perform over images.
[1]: img = cv2.imread('D:/RGB.png')
print(img.shape)
(565, 598, 3)
It means that the image has a height of 480 pixels, width of 480 pixels and 3 means RGB combination of
colours.
[1]: img = cv2.imread('D:/RGB.png')
print (img.min())
print (img.max())
0
255
Advance Python (Practical) 473

