一、概念

边缘保留滤波(EPF,edge preserving filtering)

二、高斯双边

cv2.bilateralFilter(image,0,100,15)100为差异，15为周围的区域

import cv2
import numpy as np

def bilateralFilter(image):
    dst = cv2.bilateralFilter(image,0,100,15)
    cv2.imshow('bilateralFilter',dst)


src = cv2.imread(r"G:\Juptyer_workspace\study\opencv\opencv3\p.jpg")
cv2.imshow("image",src)
cv2.namedWindow("image",cv2.WINDOW_AUTOSIZE)

bilateralFilter(src)

cv2.waitKey(0)
cv2.destroyAllWindows()

效果图如下：

三、均值迁移

import cv2
import numpy as np

def MeanShiftFiltering(image):
    dst = cv2.pyrMeanShiftFiltering(image,10,50)
    cv2.imshow('MeanShiftFiltering',dst)


src = cv2.imread(r"G:\Juptyer_workspace\study\opencv\opencv3\p.jpg")
cv2.imshow("image",src)
cv2.namedWindow("image",cv2.WINDOW_AUTOSIZE)

MeanShiftFiltering(src)

cv2.waitKey(0)
cv2.destroyAllWindows()

效果图如下：