1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
|
"""
@file laplace_demo.py
@brief Sample code showing how to detect edges using the Laplace operator
"""
import sys
import cv2 as cv
def main(argv):
# [variables]
# Declare the variables we are going to use
ddepth = cv.CV_16S
kernel_size = 3
window_name = "Laplace Demo"
# [variables]
# [load]
imageName = argv[0] if len(argv) > 0 else 'lena.jpg'
src = cv.imread(cv.samples.findFile(imageName), cv.IMREAD_COLOR) # Load an image
# Check if image is loaded fine
if src is None:
print ('Error opening image')
print ('Program Arguments: [image_name -- default lena.jpg]')
return -1
# [load]
# [reduce_noise]
# Remove noise by blurring with a Gaussian filter
src = cv.GaussianBlur(src, (3, 3), 0)
# [reduce_noise]
# [convert_to_gray]
# Convert the image to grayscale
src_gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
# [convert_to_gray]
# Create Window
cv.namedWindow(window_name, cv.WINDOW_AUTOSIZE)
# [laplacian]
# Apply Laplace function
dst = cv.Laplacian(src_gray, ddepth, ksize=kernel_size)
# [laplacian]
# [convert]
# converting back to uint8
abs_dst = cv.convertScaleAbs(dst)
# [convert]
# [display]
cv.imshow(window_name, abs_dst)
cv.waitKey(0)
# [display]
return 0
if __name__ == "__main__":
main(sys.argv[1:])
|
