import numpy as np
import cv2

cap = cv2.VideoCapture(0)

while(1):
    ret ,frame = cap.read()

    if ret == True:
        img = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
	ret,thresh1 = cv2.threshold(img,100,255,cv2.THRESH_BINARY)
#	ret,thresh2 = cv2.threshold(img,127,255,cv2.THRESH_BINARY_INV)
#	ret,thresh3 = cv2.threshold(img,127,255,cv2.THRESH_TRUNC)
#	ret,thresh4 = cv2.threshold(img,127,255,cv2.THRESH_TOZERO)
#	ret,thresh5 = cv2.threshold(img,127,255,cv2.THRESH_TOZERO_INV)
	th2 = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_MEAN_C,cv2.THRESH_BINARY,11,2)
	th3 = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_GAUSSIAN_C,cv2.THRESH_BINARY,11,2)
	# Otsu's thresholding
#	blur = cv2.GaussianBlur(img,(5,5),0)
#	ret2,th6 = cv2.threshold(img,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)
#	ret2,th7 = cv2.threshold(blur,0,255,cv2.THRESH_BINARY+cv2.THRESH_OTSU)


        cv2.imshow('umbral1',thresh1)
#        cv2.imshow('umbral2',thresh2)
#        cv2.imshow('umbral3',thresh3)
#        cv2.imshow('umbral4',thresh4)
#        cv2.imshow('umbral5',thresh5)
 #       cv2.imshow('Otsu 1',th6)
  #      cv2.imshow('Otsu 2',th7)
        cv2.imshow('Adaptativo',th2)
        cv2.imshow('Gausiano',th3)
        cv2.imshow('original',img)

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

cv2.destroyAllWindows()
cap.release()