Open Source Computer Vision Library https://opencv.org/
 
 
 
 
 
 

64 lines
1.8 KiB

import numpy as np
import cv2
help_message = '''USAGE: floodfill.py [<image>]
Click on the image to set seed point
Keys:
f - toggle floating range
c - toggle 4/8 connectivity
ESC - exit
'''
if __name__ == '__main__':
import sys
try: fn = sys.argv[1]
except: fn = '../cpp/fruits.jpg'
print help_message
img = cv2.imread(fn, True)
h, w = img.shape[:2]
mask = np.zeros((h+2, w+2), np.uint8)
seed_pt = None
fixed_range = True
connectivity = 4
def update(dummy=None):
if seed_pt is None:
cv2.imshow('floodfill', img)
return
flooded = img.copy()
mask[:] = 0
lo = cv2.getTrackbarPos('lo', 'floodfill')
hi = cv2.getTrackbarPos('hi', 'floodfill')
flags = connectivity
if fixed_range:
flags |= cv2.FLOODFILL_FIXED_RANGE
cv2.floodFill(flooded, mask, seed_pt, (255, 255, 255), (lo,)*3, (hi,)*3, flags)
cv2.circle(flooded, seed_pt, 2, (0, 0, 255), -1)
cv2.imshow('floodfill', flooded)
def onmouse(event, x, y, flags, param):
global seed_pt
if flags & cv2.EVENT_FLAG_LBUTTON:
seed_pt = x, y
update()
update()
cv2.setMouseCallback('floodfill', onmouse)
cv2.createTrackbar('lo', 'floodfill', 20, 255, update)
cv2.createTrackbar('hi', 'floodfill', 20, 255, update)
while True:
ch = cv2.waitKey()
if ch == 27:
break
if ch == ord('f'):
fixed_range = not fixed_range
print 'using %s range' % ('floating', 'fixed')[fixed_range]
update()
if ch == ord('c'):
connectivity = 12-connectivity
print 'connectivity =', connectivity
update()