Convolution of Two Images - OpenCV - Python

# To convolute two images img1.bmp and img2.bmp

In mathematics and, in particular, functional analysis, convolution is a m-
athematical operation on two functions f and g, producing a third function
that is typically viewed as a modified version of one of the original func-
tions, giving the area overlap between the two functions as a function of 
the amount that one of the original functions is translated.
-Wikipedia


import cv2.cv as cv
import sys

if __name__ == "__main__":
 # Load two images
 im1 = cv.LoadImageM("img1.bmp")
 im2 = cv.LoadImageM("img2.bmp")
 # Create a destination image of the same size that of the source
 dst = cv.CreateImage(cv.GetSize(im1), 8, 3)

 # Create a window named "convolution(1 for colour)"
 cv.NamedWindow("convolution", 1)
 # Convolute the 2 images
 cv.Filter2D(im1, dst, im2)
 # Show the convoluted result
 cv.ShowImage('convolution', dst)

 # Wait for any key press to close the window
 print 'Press any key to quit'
 cv.WaitKey(0)
 # Destroy all created windows and exit
 print 'Exiting...'
 cv.DestroyAllWindows()
 sys.exit(0)

Written by Munia Balayil