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opencv函数之cv.InRange函数

2018-03-0421:22:46

(1)cv.InRange函数

void cvInRange(//提取图像中在阈值中间的部分  const CvArr* src,//目标图像const CvArr* lower,//阈值下限  const CvArr* upper,//阈值上限  CvArr* dst//结果图像  )

 历程:# 取出摄像头中,绿色的区域

import cv2 as cv
import numpy as np


def video_demo():
    capture = cv.VideoCapture(0)
    while(True):
        #  打开摄像头
        ret,frame = capture.read()
        if ret == False:
            break
        #  转换为hsv图像
        hsv = cv.cvtColor(frame,cv.COLOR_BGR2HSV)
        #  下阈值
        lower_hsv = np.array([37,43,46])
        #  上阈值
        upper_hsv = np.array([77,255,255])
        mask = cv.inRange(hsv,lowerb=lower_hsv,upperb = upper_hsv)
        #  cv.inRange(目标图像,阈值下,阈值上,输出图像)
        cv.imshow ("video",frame)
        cv.imshow ( "mask",mask)
        c = cv.waitKey (50)
        if c == 27:  # 相当于人为退出
            break


video_demo()

 

 

转载于:https://www.cnblogs.com/pengwenzheng/p/8506254.html

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