import cv2
import time
import numpy as np
from sklearn.externals import joblib
from skimage.feature import hog
import math
from time import sleep

# Read image
_,src = cv2.imread("Applepic.JPG", cv2.IMREAD_GRAYSCALE)

# Set threshold and maxValue
thresh = 125
maxValue = 255


_,dst = cv2.threshold(src, 125, 255, cv2.THRESH_BINARY);
cv2.imshow('src', src)
#cv2.imshow('dst', dst)
im = cv2.morphologyEx(dst, cv2.MORPH_ELLIPSE, (7,7))
im2 = cv2.morphologyEx(dst, cv2.MORPH_OPEN, (7,7))
#im2 = cv2.morphologyEx(dst, cv2.MORPH_CLOSE, np.ones((3,3), np.uint8))
#cv2.imwrite("example.JPEG", dst)
cv2.imshow('im', im)
cv2.imshow('im2', im2)
#cv2.imshow('im2', im2)
cv2.waitKey(0)
cv2.destroyAllWindows()