smooth_image.py

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# Example : displaying an image from file (and smoothing it)

# Author : Toby Breckon, toby.breckon@durham.ac.uk

# Copyright (c) 2015 School of Engineering & Computing Science,
#                    Durham University, UK
# License : LGPL - http://www.gnu.org/licenses/lgpl.html

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import cv2

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# define display window name

window_name = "Smoothed Image"  # window name

# read an image from the specified file (in colour)

img = cv2.imread('example.jpg', cv2.IMREAD_COLOR)

# check it has loaded

if img is not None:

    # performing smoothing on the image using a 5x5 smoothing mark (see manual
    # entry for GaussianBlur())

    blur = cv2.GaussianBlur(img, (5, 5), 0)

    # display this blurred image in a named window

    cv2.imshow(window_name, blur)

    # start the event loop - essential

    # cv2.waitKey() is a keyboard binding function (argument is the time in
    # ms). It waits for specified milliseconds for any keyboard event.
    # If you press any key in that time, the program continues.
    # If 0 is passed, it waits indefinitely for a key stroke.
    # (bitwise and with 0xFF to extract least significant byte of
    # multi-byte response)

    key = cv2.waitKey(0) & 0xFF  # wait

    # It can also be set to detect specific key strokes by recording which key
    # is pressed

    # e.g. if user presses "x" then exit and close all windows

    if (key == ord('x')):
        cv2.destroyAllWindows()
else:
    print("No image file successfully loaded.")

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