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

0 vote240 views1 answer
Django phone number
Python Django
3 votes230 views2 answers
Cv2.cv2 has no attribute face
Python
5 votes214 views2 answers
Python turtle line thickness
Python
0 vote204 views1 answer
How to open cmd at specific size using python
Python
61 votes208 views3 answers
How to make python remove the duplicates in list
Python
0 vote221 views1 answer
Keras train_on_batch
Python
10 votes170 views8 answers
Fibonacci sequence python
Python
4 votes211 views2 answers
Intersection in list
Python
8 votes234 views3 answers
Upload file in colab
Python
2 votes208 views2 answers
Django and operator
Python Django