Python_opencv(边缘保留滤波EPF)

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:

猜你喜欢

转载自blog.csdn.net/mnhdxhcky/article/details/81231356
今日推荐