python+opencv——canny算子阈值在线调整

最近学习opencv，从图像处理最基础的开始，练习了一些最简单的边缘检测算法，参考了这篇博文。讲的挺细，就是到最后的canny程序有点缺失，无奈自己动手咯。正好也学学使用回调函数。参考博文链接：https://blog.csdn.net/qq_40962368/article/details/81416954

直接上代码了，完成的任务是可以使用滑标调整canny的两个阈值，更改一下图片的名称即可使用，希望能帮到各位。

import cv2
import numpy as np
import time

lowThreshold = 0
max_lowThreshold = 100

maxThreshold = 100
max_maxThreshold = 200
kernel_size = 3

def canny_low_threshold(intial):
    blur = cv2.GaussianBlur(img, (3, 3), 0)
    canny = cv2.Canny(blur, intial,maxThreshold)  # x是最小阈值,y是最大阈值
    cv2.imshow('canny', canny)

def canny_max_threshold(intial):
    blur = cv2.GaussianBlur(img, (3, 3), 0)
    canny = cv2.Canny(blur, lowThreshold,intial)  # x是最小阈值,y是最大阈值
    cv2.imshow('canny', canny)

img = cv2.imread('./image_pack/shusongdai.jpg',0)   # 后面参数0即是以灰度读取

cv2.namedWindow('canny', cv2.WINDOW_NORMAL | cv2.WINDOW_KEEPRATIO)
cv2.createTrackbar('Min threshold', 'canny', lowThreshold, max_lowThreshold, canny_low_threshold)
cv2.createTrackbar('Max threshold', 'canny', maxThreshold, max_maxThreshold, canny_max_threshold)
canny_low_threshold(0)

if cv2.waitKey(0) == 27:    # 27是ESC键值
    cv2.destroyAllWindows()