video9.py

import cv2
import numpy as np


#hsv => hue saturation value
cap = cv2.VideoCapture(0)

while True:
    _, frame = cap.read()
    hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

    lower_red = np.array([50, 50, 190])
    upper_red = np.array([255, 255, 255])

    mask = cv2.inRange(hsv, lower_red, upper_red)

    result = cv2.bitwise_and(frame, frame, mask=mask)

    kernel = np.ones((5,5), np.uint8)
    erosion = cv2.erode(result, kernel, iterations = 1)
    dilation = cv2.dilate(result, kernel, iterations = 1)

    opening = cv2.morphologyEx(mask, cv2.MORPH_OPEN, kernel)
    closing = cv2.morphologyEx(mask, cv2.MORPH_CLOSE, kernel)

    #It is the difference between the input image and the opening image
    #cv2.imshow('Tophat', tophat)

    #It is the difference between the input image and the closing of the input image
    #cv2.imshow('Blackhat', blackhat)


    #cv2.imshow('frame', frame)
    cv2.imshow('erosion', erosion)
    cv2.imshow('dilation', dilation)
    cv2.imshow('opening', opening)
    cv2.imshow('closing', closing)
    #cv2.imshow('hsv', hsv)
    #cv2.imshow('mask', mask)
    #cv2.imshow('result', result)

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

cap.release()
cv2.destroyAllWindows()