python opencv 灰度图非局部平均去噪

代码：

import cv2
import numpy as np
# 灰度图像去噪
def MeansDenoising(img,h,templateWindowSize,searchWindowSize):
    dst = cv2.fastNlMeansDenoising(img,h,templateWindowSize,searchWindowSize)
    return dst
# 回调函数，因为只能传一个参数，不方便，所以pass
def nothing(pos):
    pass
#读取图片
img = cv2.imread("2.jpg",0)
# 创建老窗口
cv2.namedWindow('OldImg')
# 绑定老窗口和滑动条（滑动条的数值）
cv2.createTrackbar('h', 'OldImg', 10, 100, nothing)
cv2.createTrackbar('templateWindowSize', 'OldImg', 7, 100, nothing)
cv2.createTrackbar('searchWindowSize', 'OldImg', 21, 100, nothing)
while True:
    # 提取滑动条的数值d
    h = cv2.getTrackbarPos('h', 'OldImg')
    templateWindowSize =cv2.getTrackbarPos('templateWindowSize', 'OldImg')
    searchWindowSize = cv2.getTrackbarPos('searchWindowSize', 'OldImg')
    # 滑动条数字传入函数img_dilated中，并且调用函数img_dilated
    dilated = MeansDenoising(img,h,templateWindowSize,searchWindowSize)
    # 绑定 img 和 dilated
    result = np.hstack([img,dilated])
    cv2.imshow('OldImg', result)
    # 设置推出键
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
# 关闭窗口
cv2.destroyAllWindows()

效果