import cv2
import numpy as np
img = cv2.imread("c://png.png")
hsvimg = cv2.cvtColor(img, cv2.COLOR_RGB2HSV)
cv2.imshow('hsvimg',img)
can = hsvimg[:,:,2]
#print(can)
mask = can > 100
intmask =mask*1
print(intmask)
msk1 = np.empty(mask.shape,dtype="uint8")
for i in range(mask.shape[0]):
    for j in range(mask.shape[1]):
        if mask[i, j] == True:
            msk1[i, j] = int(1)
        else:
            msk1[i,j]= int(0)
res = cv2.bitwise_and(img,img, mask=msk1)
cv2.imshow('i',res)
cv2.waitKey(0)