OpenCV Sobel、scharr、apkacian算子

#Sobel算子

pie_s = cv2.imread("pie.png",cv2.IMREAD_GRAYSCALE)

cv2.imshow("pie_s",pie_s)
cv2.waitKey(0)
cv2.destroyAllWindows()

#1  dst = cv2.Sobel(src,ddepth,dx,dy,ksize)
#1.1  ddepth:图像的深度¶
#1.2  dx和dy分别表示水平和竖直方向
#1.3  ksize是Sobel算子的大小

def cv_show(img,name):
    cv2.imshow(name,img)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

sobelx = cv2.Sobel(pie_s,cv2.CV_64F,1,0,ksize=3)
cv_show(sobelx,"sobelx")

#白到黑是正数，黑到白就是负数了，所有的负数会被载成0，所以要取绝对值


sobelx = cv2.Sobel(pie_s,cv2.CV_64F,1,0,ksize=3)
sobelx = cv2.convertScaleAbs(sobelx)
cv_show(sobelx,"sobelx")

sobely = cv2.Sobel(pie_s,cv2.CV_64F,0,1,ksize=3)
sobely = cv2.convertScaleAbs(sobely)
cv_show(sobely,"sobely")

分别计算x和y，再求和

sobelxy = cv2.addWeighted(sobelx,0.5,sobely,0.5,0)
cv_show(sobelxy,"sobelxy")

img_mn = cv2.imread("lena.jpg",cv2.IMREAD_GRAYSCALE)
cv_show(img_mn,"img_mn")

img_mn = cv2.imread("lena.jpg",cv2.IMREAD_GRAYSCALE)
sobelmnx = cv2.Sobel(img_mn,cv2.CV_64F,1,0,ksize=3)
sobelmnx = cv2.convertScaleAbs(sobelmnx)
sobelmny = cv2.Sobel(img_mn,cv2.CV_64F,0,1,ksize=3)
sobelmny = cv2.convertScaleAbs(sobelmny)
sobelmnxy = cv2.addWeighted(sobelmnx,0.5,sobelmny,0.5,0)
cv_show(sobelmnxy,"sobelmnxy")

img_mn = cv2.imread("lena.jpg",cv2.IMREAD_GRAYSCALE)
sobelmnxy = cv2.Sobel(img_mn,cv2.CV_64F,1,1,ksize=3)
sobelmnxy = cv2.convertScaleAbs(sobelmnxy)
cv_show(sobelmnxy,"sobelmnxy") 

#scharr与apkacian算子
#不同算子的差异

#Sobel算子
img_mn = cv2.imread("lena.jpg",cv2.IMREAD_GRAYSCALE)
sobelmnx = cv2.Sobel(img_mn,cv2.CV_64F,1,0,ksize=3)
sobelmnx = cv2.convertScaleAbs(sobelmnx)
sobelmny = cv2.Sobel(img_mn,cv2.CV_64F,0,1,ksize=3)
sobelmny = cv2.convertScaleAbs(sobelmny)
sobelmnxy = cv2.addWeighted(sobelmnx,0.5,sobelmny,0.5,0)

#Sobel算子
ccharrx = cv2.Scharr(img_mn,cv2.CV_64F,1,0)
ccharrx = cv2.convertScaleAbs(ccharrx)
ccharry = cv2.Scharr(img_mn,cv2.CV_64F,0,1)
ccharry = cv2.convertScaleAbs(ccharry)
ccharrxy = cv2.addWeighted(ccharrx,0.5,ccharry,0.5,0)
#Sobel算子
laplacian = cv2.Laplacian(img_mn,cv2.CV_64F)
laplacian = cv2.convertScaleAbs(laplacian)

res = np.hstack((sobelmnxy,ccharrxy,laplacian))
cv_show(res,"res")