import numpy as np
import cv2
from matplotlib import pyplot as plt
img = cv2.imread('coin.jpg')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(gray,0,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
print(thresh.shape)
plt.imshow(thresh,'gray')
(312, 252)
kernel = np.ones((3,3),np.uint8)
opening = cv2.morphologyEx(thresh,cv2.MORPH_OPEN,kernel, iterations = 2)
sure_bg = cv2.dilate(opening,kernel,iterations=3)
dist_transform = cv2.distanceTransform(opening,cv2.DIST_L2,5)
ret, sure_fg = cv2.threshold(dist_transform,0.7*dist_transform.max(),255,0)
print(sure_fg.dtype)
sure_fg = np.uint8(sure_fg)
print(sure_fg.dtype)
unknown = cv2.subtract(sure_bg,sure_fg)
plt.imshow(sure_fg,'gray')
float32
uint8
ret, markers = cv2.connectedComponents(sure_fg)
print(markers.shape)
markers = markers+1
markers[unknown==255]=0
plt.imshow(sure_fg)
(312, 252)
markers = cv2.watershed(img,markers)
img[markers == -1] = [255,0,0]
plt.imshow(img)
plt.imshow(markers)