opencv 图片降噪

——

# -*- coding: utf-8 -*
import numpy as np
import cv2

cap = cv2.VideoCapture(0)

while True:
    _ , frame = cap.read()
    hsv = cv2.cvtColor(frame,cv2.COLOR_BGR2HSV)
    lower_red = np.array([150,150,50])
    upper_red = np.array([180,255,255])

    dark_red = np.uint8([[[12,22,121]]])
    dark_red = cv2.cvtColor(dark_red,cv2.COLOR_BGR2HSV)

    mask = cv2.inRange(hsv,lower_red,upper_red)
    res = cv2.bitwise_and(frame,frame,mask=mask)

    kernel = np.ones((15,15),np.float32)/225
    smoothed = cv2.filter2D(res,-1,kernel)

    blur = cv2.GaussianBlur(res,(15,15),0)

    median = cv2.medianBlur(res,15)

    bilateral = cv2.bilateralFilter(res,15,75,75)

    cv2.imshow('frame',frame)
    cv2.imshow('res', res)
    cv2.imshow('smoothed', smoothed)
    cv2.imshow('blur', blur)
    cv2.imshow('median', median)
    cv2.imshow('bilateral', bilateral)

    k = cv2.waitKey(5) & 0xff
    if k == 27:
        break

cv2.destroyAllWindows()
cap.release()

这么多钟smooth消除噪声