opencv_图像处理1 ：平滑图像

跑完了代码，有任何问题，都可以评论哦，一定会回复的

import sys
import cv2 as cv
import numpy as np
#  Global Variables
DELAY_CAPTION = 1500
DELAY_BLUR = 100
MAX_KERNEL_LENGTH = 31
src = None
dst = None
window_name = 'Smoothing Demo'
def main(argv):
    cv.namedWindow(window_name, cv.WINDOW_AUTOSIZE)
    # Load the source image
    imageName = argv[0] if len(argv) > 0 else "C:\\Users\\youkechuang_i\\Desktop\\lena.jpg"
    global src
    src = cv.imread(imageName, 1)
    if src is None:
        print ('Error opening image')
        print ('Usage: smoothing.py [image_name -- default ../data/lena.jpg] \n')
        return -1
    if display_caption('Original Image') != 0:
        return 0
    global dst
    dst = np.copy(src)
    if display_dst(DELAY_CAPTION) != 0:
        return 0
    # Applying Homogeneous blur
    if display_caption('Homogeneous Blur') != 0:
        return 0

    for i in range(1, MAX_KERNEL_LENGTH, 2):
        dst = cv.blur(src, (i, i))
        if display_dst(DELAY_BLUR) != 0:
            return 0

    # Applying Gaussian blur
    if display_caption('Gaussian Blur') != 0:
        return 0

    for i in range(1, MAX_KERNEL_LENGTH, 2):
        dst = cv.GaussianBlur(src, (i, i), 0)
        if display_dst(DELAY_BLUR) != 0:
            return 0

    # Applying Median blur
    if display_caption('Median Blur') != 0:
        return 0

    for i in range(1, MAX_KERNEL_LENGTH, 2):
        dst = cv.medianBlur(src, i)
        if display_dst(DELAY_BLUR) != 0:
            return 0

    # Applying Bilateral Filter
    if display_caption('Bilateral Blur') != 0:
        return 0

    for i in range(1, MAX_KERNEL_LENGTH, 2):
        dst = cv.bilateralFilter(src, i, i * 2, i / 2)
        if display_dst(DELAY_BLUR) != 0:
            return 0

    #  Done
    display_caption('Done!')
    return 0
def display_caption(caption):
    global dst
    dst = np.zeros(src.shape, src.dtype)
    rows, cols, _ch = src.shape
    cv.putText(dst, caption,
                (int(cols / 4), int(rows / 2)),
                cv.FONT_HERSHEY_COMPLEX, 1, (255, 255, 255))
    return display_dst(DELAY_CAPTION)
def display_dst(delay):
    cv.imshow(window_name, dst)
    c = cv.waitKey(delay)
    if c >= 0 : return -1
    #如果按下按键，或者正常等待则返回-1，
    return 0
if __name__ == "__main__":
    main(sys.argv[1:])