色彩空间转换和图像锁定

其他

发布时间 : 2021-01-02 15:18

阅读 :

import cv2 as cv
import numpy as np


def extrace_object_demo():
    capture = cv.VideoCapture('./m.mp4')
    while True:
        ret, frname = capture.read()
        if ret == False:
            break
        hsv = cv.cvtColor(frname, cv.COLOR_BGR2HSV)
        lower_hsv = np.array([0, 0, 0])
        upper_hsv = np.array([180, 255, 46])
        mask = cv.inRange(hsv, lowerb=lower_hsv, upperb=upper_hsv)
        dst = cv.bitwise_and(frname, frname, mask=mask)
        cv.imshow('video', frname)
        cv.imshow('mask', dst)
        c = cv.waitKey(40)
        if c == 27:
            break


def color_space_demo(image):
    gray = cv.cvtColor(image, cv.COLOR_BGR2GRAY)
    cv.imshow('gray', gray)
    hsv = cv.cvtColor(image, cv.COLOR_BGR2HSV)
    cv.imshow('hsv', hsv)
    yuv = cv.cvtColor(image, cv.COLOR_BGR2YUV)
    cv.imshow('yuv', yuv)
    Ycrcb = cv.cvtColor(image, cv.COLOR_BGR2YCrCb)
    cv.imshow('ycrcb', Ycrcb)


src = cv.imread('./0.png')  # blue, green, red
cv.namedWindow('input image', cv.WINDOW_AUTOSIZE)
cv.imshow('input image', src)
# color_space_demo(src)
extrace_object_demo()
# b, g, r = cv.split(src)
# cv.imshow('blue', b)
# cv.imshow('green', g)
# cv.imshow('red', r)
# src = cv.merge([b, g, r])
# src[:, :, 0] = 0
# cv.imshow('changed image', src)

cv.waitKey(0)

cv.destroyAllWindows()

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