标签:whose varied maxVal image minVal two opencv threshold cv
文章目录
前言
题目地址:https://docs.opencv.org/4.x/da/d22/tutorial_py_canny.html
题目内容:
Write a small application to find the Canny edge detection whose threshold values can be varied using two trackbars. This way, you can understand the effect of threshold values.
Source Code
# 开发时间:2022/2/22 20:43
# Write a small application to find the Canny edge detection whose threshold values can be varied using two trackbars. This way, you can understand the effect of threshold values.
import cv2 as cv
import numpy as np
def nothing(x):
pass
maxVal = 200
minVal = 100
# 使用时记得修改图片路径
img = cv.imread(r'D:\pycharm_professional\PycharmProjects\fisrt_try_of_opencv\opencv\test\test_img\1.jian.jpg',0)
cv.namedWindow("image")
# create trackbars for threshold change
cv.createTrackbar("maxVal","image",100,200,nothing)
cv.createTrackbar("minVal","image",0,100,nothing)
while True:
# get currents position of four trackbars
edge = cv.Canny(img,minVal,maxVal)
cv.imshow("image", edge)
k = cv.waitKey(1) & 0xFF
if k == 27:
break
try:
maxVal = cv.getTrackbarPos("maxVal", "image")
minVal = cv.getTrackbarPos("minVal", "image")
except:
break
Result
可以通过调整minVal和maxVal来修改阈值,从而动态修改边界
总结
参考代码地址:
https://docs.opencv.org/4.x/da/d22/tutorial_py_canny.html
https://docs.opencv.org/4.x/d9/dc8/tutorial_py_trackbar.html
标签:whose,varied,maxVal,image,minVal,two,opencv,threshold,cv 来源: https://blog.csdn.net/booze_/article/details/123077504
本站声明: 1. iCode9 技术分享网(下文简称本站)提供的所有内容,仅供技术学习、探讨和分享; 2. 关于本站的所有留言、评论、转载及引用,纯属内容发起人的个人观点,与本站观点和立场无关; 3. 关于本站的所有言论和文字,纯属内容发起人的个人观点,与本站观点和立场无关; 4. 本站文章均是网友提供,不完全保证技术分享内容的完整性、准确性、时效性、风险性和版权归属;如您发现该文章侵犯了您的权益,可联系我们第一时间进行删除; 5. 本站为非盈利性的个人网站,所有内容不会用来进行牟利,也不会利用任何形式的广告来间接获益,纯粹是为了广大技术爱好者提供技术内容和技术思想的分享性交流网站。