import cv2
from cv2 import COLOR_BGR2GRAY
import matplotlib.pyplot as plt

input_img = cv2.imread("mikasa.jpg",1)

gray = cv2.cvtColor(input_img,COLOR_BGR2GRAY)

img = cv2.GaussianBlur(gray,(3,3),0)

cv2.imshow("GaussianBlur",img)
cv2.waitKey(0)
cv2.destroyAllWindows()

sobelx = cv2.Sobel(img,cv2.CV_64F,1,0,ksize=9)
sobely = cv2.Sobel(img,cv2.CV_64F,0,1,ksize=13)
sobelxy =cv2.Sobel(img,cv2.CV_64F,1,1,ksize=31)

plt.imshow(img,cmap = 'gray')
plt.title('Original')
plt.xticks([]), plt.yticks([])
plt.show()

plt.imshow(sobelx,cmap = 'gray')
plt.title('sobelx')
plt.xticks([]), plt.yticks([])
plt.show()

plt.imshow(sobely,cmap = 'gray')
plt.title('sobely')
plt.xticks([]), plt.yticks([])
plt.show()

plt.imshow(sobelxy,cmap = 'gray')
plt.title('sobelxy')
plt.xticks([]), plt.yticks([])

plt.show()

laplacian = cv2.Laplacian(img,cv2.CV_64F)
cv2.imshow("laplacian",laplacian)
cv2.waitKey(0)
cv2.destroyAllWindows()

canny_edges = cv2.Canny(img, 120, 150)
cv2.imshow("Canny",canny_edges)
cv2.waitKey(0)
cv2.destroyAllWindows()