-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathtutorial_16.py
41 lines (32 loc) · 1.14 KB
/
tutorial_16.py
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
# P19图像梯度
# 一阶导数和soble算子
# 二阶导数和拉普拉斯算子
import cv2 as cv
import numpy as np
def sobel_demo(image):
# grad_x = cv.Sobel(image, cv.CV_32F, 1, 0)
# grad_y = cv.Sobel(image, cv.CV_32F, 0, 1)
grad_x = cv.Scharr(image, cv.CV_32F, 1, 0)
grad_y = cv.Scharr(image, cv.CV_32F, 0, 1)
# dst = (unchar)saturate(alpha*src + beta)
gradx = cv.convertScaleAbs(grad_x)
grady = cv.convertScaleAbs(grad_y)
cv.imshow("grad_x", gradx)
cv.imshow("grad_y", grady)
gradxy = cv.addWeighted(gradx, 0.5, grady, 0.5, 0)
cv.imshow("grad_xy", gradxy)
def lapalian_demo(image):
# dst = cv.Laplacian(image, cv.CV_32F)
# lpls = cv.convertScaleAbs(dst)
kernel = np.array([[0, 1, 0], [1, -4, 1], [0, 1, 0]])
dst = cv.filter2D(image, cv.CV_32F, kernel=kernel)
dst = cv.convertScaleAbs(dst)
# cv.imshow("lapalian_demo", lpls)
cv.imshow("lapalian_demo", dst)
print("-------------hello python-----------------")
src = cv.imread("./resource/girl.jpg")
cv.namedWindow("input image", cv.WINDOW_AUTOSIZE)
cv.imshow("input image", src)
lapalian_demo(src)
cv.waitKey(0)
cv.destroyAllWindows()