OpenCV边缘检测——Sobel，Scharr，Laplacian，Canny算子的使用

Sobel算子

import cv2
import numpy as np  

img = cv2.imread("test.png")

x = cv2.Sobel(img,cv2.CV_16S,1,0)
y = cv2.Sobel(img,cv2.CV_16S,0,1)

absX = cv2.convertScaleAbs(x)   # 转回uint8
absY = cv2.convertScaleAbs(y)

dst = cv2.addWeighted(absX,0.5,absY,0.5,0)

cv2.imshow("absX", absX)
cv2.imshow("absY", absY)

cv2.imshow("Result", dst)

cv2.waitKey(0)
cv2.destroyAllWindows() 

Scharr算子

import cv2
import numpy as np  

img = cv2.imread("test.png")

x = cv2.Scharr(img,cv2.CV_16S,1,0)
y = cv2.Scharr(img,cv2.CV_16S,0,1)

absX = cv2.convertScaleAbs(x)   # 转回uint8
absY = cv2.convertScaleAbs(y)

dst = cv2.addWeighted(absX,0.5,absY,0.5,0)

cv2.imshow("absX", absX)
cv2.imshow("absY", absY)

cv2.imshow("Result", dst)

cv2.waitKey(0)
cv2.destroyAllWindows() 

Laplacian算子

import cv2
import numpy as np  

img = cv2.imread("test.png")
#cv2.Laplacian(src,ddepth,ksize)
x = cv2.Laplacian(img,cv2.CV_16S,5)

cv2.imshow("Result", dst)

cv2.waitKey(0)
cv2.destroyAllWindows() 

Canny算子

import cv2
import numpy as np  

img = cv2.imread("test.png", )
#cv2.Canny(src,minVal,maxVal)
x = cv2.Canny(img,100,200)

cv2.imshow("Result", dst)

cv2.waitKey(0)
cv2.destroyAllWindows() 

相关原理：
https://www.jianshu.com/p/2334bee37de5
https://blog.csdn.net/fengye2two/article/details/79190759