def floodfill():
display(src_image, "source_image")
seedPoint = (0, 0)
cv.FloodFill(src_image, seedPoint, (0, 255, 0), (2, 10, 50), (2, 10, 50),
4, None)
display(src_image, "Destination image")
cv.WaitKey(0)
def on_mouse(event, x, y, flags, param):
if (not color_img):
return
if event == cv.CV_EVENT_LBUTTONDOWN:
my_mask = None
seed = (x, y)
if ffill_case == 0:
lo = up = 0
flags = connectivity + (new_mask_val << 8)
else:
lo = lo_diff
up = up_diff
flags = connectivity + (
new_mask_val << 8) + cv.CV_FLOODFILL_FIXED_RANGE
b = random.randint(0, 255)
g = random.randint(0, 255)
r = random.randint(0, 255)
if (is_mask):
my_mask = mask
cv.Threshold(mask, mask, 1, 128, cv.CV_THRESH_BINARY)
if (is_color):
color = cv.CV_RGB(r, g, b)
comp = cv.FloodFill(color_img, seed, color, cv.CV_RGB(lo, lo, lo),
cv.CV_RGB(up, up, up), flags, my_mask)
cv.ShowImage("image", color_img)
else:
brightness = cv.RealScalar((r * 2 + g * 7 + b + 5) / 10)
comp = cv.FloodFill(gray_img, seed, brightness, cv.RealScalar(lo),
cv.RealScalar(up), flags, my_mask)
cv.ShowImage("image", gray_img)
print "%g pixels were repainted" % comp[0]
if (is_mask):
cv.ShowImage("mask", mask)