Import Libraries



In [1]:

    
import cv2



In [2]:

    
import matplotlib.pyplot as plt
%matplotlib inline

Read image and Check inspect values of image at different locations



In [3]:

    
img_RGB = cv2.imread('demo1.jpg')



In [4]:

    
plt.imshow(cv2.cvtColor(img_RGB, cv2.COLOR_BGR2RGB))









    Out[4]:





<matplotlib.image.AxesImage at 0x7fd779263eb8>



In [5]:

    
print('Shape_RGB:', img_RGB.shape)









    



Shape_RGB: (1080, 1920, 3)



In [6]:

    
print('Type_RGB:', img_RGB.dtype)









    



Type_RGB: uint8

RGB pixel intensity 0-255



In [7]:

    
print('RGB intensity at 300,250:',img_RGB[300,250])









    



RGB intensity at 300,250: [80 72 32]

RGB line intensity 0-255



In [8]:

    
img_RGB_lineintensity = img_RGB[600]



In [9]:

    
plt.plot(img_RGB_lineintensity)









    Out[9]:





[<matplotlib.lines.Line2D at 0x7fd779155e48>,
 <matplotlib.lines.Line2D at 0x7fd779155fd0>,
 <matplotlib.lines.Line2D at 0x7fd77915b240>]

Similarly, image values can be inspected for a Gray image. Gray image will be more prefered as it will decrease 3 RGB pixels to just one gray and hence simplify processing. It will also help in standardizing from large image color types.