Watershed Segmentation

# SEGMENTATION
import numpy as np
import cv2
from matplotlib import pyplot as plt
img = cv2.imread(r'C33P1thinF_IMG_20150619_114756a_cell_181.png')
b,g,r = cv2.split(img)
rgb_img = cv2.merge([r,g,b])
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(gray,0,255,cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU)
plt.subplot(211),plt.imshow(closing, 'gray')
plt.title("morphologyEx:Closing:2x2"), plt.xticks([]), plt.yticks([])
plt.subplot(212),plt.imshow(sure_bg, 'gray')
plt.imsave(r'dilation.png',sure_bg)
plt.title("Dilation"), plt.xticks([]), plt.yticks([])
plt.tight_layout()
plt.show()

Source: analyticsvidhya.com

Similar codes

2 votes105 views1 answer
Executing shell commands in python
Python
8 votes176 views2 answers
Pandas iterate columns
Python
7 votes136 views2 answers
Numpy create a matrix of certain value
Python
17 votes183 views2 answers
How to uninstall python
Python
1 vote166 views1 answer
Set and tuple in python
Python
0 vote109 views1 answer
Opencv change color
Python
0 vote193 views1 answer
Add python to zsh wsl
Python
0 vote175 views1 answer
Unittest sleep
Python
0 vote144 views1 answer
Run django using nssm
Python
0 vote141 views1 answer
Plant python documentation
Python