边缘保留滤波(EPF)
import cv2 as cv
import numpy as np
def bi_demo(image): #高斯双边
##dst=cv.bilateralFilter(image,0,100,15)
dst=cv.bilateralFilter(src=image,d=0,sigmaColor=100,sigmaSpace=15)
cv.imshow("bi_demo",dst)
kennel=np.array([[0,-1,0],[-1,5,-1],[0,-1,0]],np.float32) #锐化操作,试图向更立体
dst1=cv.filter2D(dst,-1,kennel) #-1表示和原图一样
cv.imshow("new",dst1)
def shift_demo(image): #均值偏移
dst=cv.pyrMeanShiftFiltering(image,10,50)
cv.imshow("shift_demo",dst)
print('---Hello Python-----')
src=cv.imread('E:/aaaxuexi/python_z/zhanglaoshi/lianxi/liuyifei.jpg')
cv.imshow('xiaojiejie',src)
bi_demo(src)
shift_demo(src)
cv.waitKey(0)
cv.destroyAllWindows()
原图:
均值迁移:
高斯双边: