| # Python program for illustration
# Closing the morphological operation
# on the image
# organization of import import cv2 import numpy as np
# return video from the first webcam to your computer. screenRead = cv2. VideoCapture ( 0 )
# the loop starts if there was a capture initialized. while ( 1 ): # reads frames from the camera _, image = screenRead.read () # Converts to HSV color space, OCV reads colors as BGR # the frame is converted to hsv hsv = cv2.cvtColor (image, cv2.COLOR_BGR2H SV) # define the masking range blue1 = np.array ([ 110 , 50 , 50 ]) blue2 = np.array ([ 130 , 255 , 255 ]) # mask initialization for # collapsed above the input image mask = cv2.inRange (hsv, blue1, blue2) # bitwise_and transfer # every pixel is meandering res = cv2.bitwise_and (image, image, mask = mask) # core definition i.e. structuring element kernel = np.ones (( 5 , 5 ), np.uint8) # definition of the closing function # over image and structuring element closing = cv2.morphologyEx (mask, cv2.MORPH_OPEN, kernel) # Mask and close operation # is displayed I’m in a window cv2.imshow ( ’Mask’ , mask) cv2.imshow ( ’Closing’ , closing) # Wait for the "a" key to stop the program if cv2.waitKey ( 1 ) & amp; 0xFF = = ord ( ’a’ ): break
# Deallocate any associated memory usage
cv2.destroyAllWindows ()
# Close window / release webcam
screenRead.release () | 
