Question

这是我获取二进制图像的解决方案：

import cv2
import numpy as np

img = cv2.imread('crop.png')

gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray,(5,5),0)
ok,thresh = cv2.threshold(blur,0,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)

cv2.imshow('image',img)
cv2.imshow('threshold',thresh)

k = cv2.waitKey(0) & 0xff
if k == ord('q'):
    cv2.destroyAllWindows()

以下是我得到的结果。如何去除手上的背景？

original image threshold image

Answer 1

您可以使用颜色检测来获取手部区域的遮罩。如果要对视频进行背景减法，则可以通过存储背景并从背景中减去即将到来的帧来实现。

import cv2
cap=cv2.VideoCapture(1)
j=0
while 1:
    ret,frame=cap.read()
    if(j==0):
        bg=frame.copy().astype("float")
    if(j<30):
        cv2.accumulateWeighted(frame,bg,0.5)
        j=j+1
    diff=cv2.absdiff(frame,bg.astype("uint8"))
    diff=cv2.cvtColor(diff,cv2.COLOR_BGR2GRAY)
    thre,diff=cv2.threshold(diff,25,255,cv2.THRESH_BINARY)
    cv2.imshow("j",diff)
    if(cv2.waitKey(1) & 0XFF==ord('q')):
        break
cap.release()
cv2.destroyAllWindows()

用opencv python删除背景

1 个答案: