# Las operaciones de Erosion y Dilatar se realizn sobre el color blanco de la imagen binaria

import numpy as np
import cv2

cap = cv2.VideoCapture(0)
kernel = np.ones((3,3),np.uint8)
while(1):
    ret ,frame = cap.read()

    if ret == True:
        img = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
	ret,thresh5 = cv2.threshold(img,127,255,cv2.THRESH_TOZERO_INV)
	th2 = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY_INV,11,2)
	erosion = cv2.erode(th2,kernel,iterations = 1)	
	dilation = cv2.dilate(th2,kernel,iterations = 1)
	opening = cv2.morphologyEx(th2, cv2.MORPH_OPEN, kernel)

        cv2.imshow('Adaptativo',th2)
        cv2.imshow('Erosion',erosion)
        cv2.imshow('Dilate',dilation)
        cv2.imshow('original',img)
        cv2.imshow('Opening',opening)

        k = cv2.waitKey(60) & 0xff
        if k == 27:
            break

cv2.destroyAllWindows()
cap.release()