#!/usr/bin/env python
# _*_ coding:utf-8 _*_
import cv2 as cv
import numpy as np
# 高斯的双边模糊
def bi_demo(image):
#两个sigma,一般sigmaColor取大一点,目的是让小的差异模糊掉,把噪声去掉, sigmaSpace空间差异取小一点,整个核的大小就会小一点,让主要的差异保留下来
dst = cv.bilateralFilter(image, 0, 100, 15)
cv.imshow("bi_demo", dst)
src = cv.imread("F:\star.jpg")
cv.namedWindow("input image", cv.WINDOW_AUTOSIZE)
cv.imshow("input image", src)
bi_demo(src)
cv.waitKey(0)
cv.destroyAllWindows()
均值迁移
#!/usr/bin/env python
# _*_ coding:utf-8 _*_
import cv2 as cv
import numpy as np
# 均值迁移,差异小的给模糊起来,最后给它附上一个值
def shift_demo(image):
dst = cv.pyrMeanShiftFiltering(image, 10, 50)
cv.imshow("shift_demo", dst)
src = cv.imread("F:\star.jpg")
cv.namedWindow("input image", cv.WINDOW_AUTOSIZE)
cv.imshow("input image", src)
shift_demo(src)
cv.waitKey(0)
cv.destroyAllWindows()