

In [21]:

    
%matplotlib inline

import cv2
import matplotlib.pyplot as plt



In [27]:

    
bgr = cv2.imread("image077.png")
rgb = cv2.cvtColor(bgr, cv2.COLOR_BGR2RGB)
plt.imshow(rgb)









    Out[27]:





<matplotlib.image.AxesImage at 0x7fb07c67e550>

Image Gradients



In [23]:

    
laplacian = cv2.Laplacian(bgr,cv2.CV_64F)
sobelx = cv2.Sobel(bgr,cv2.CV_64F,1,0,ksize=5)
sobely = cv2.Sobel(bgr,cv2.CV_64F,0,1,ksize=5)



In [24]:

    
plt.imshow(sobelx, cmap='gray')









    Out[24]:





<matplotlib.image.AxesImage at 0x7fb07c0f00d0>

Canny Edge Detection

Noise Reduction
Finding Intensity Gradient of the Image
Non-maximum Suppression
Hysteresis Thresholding



In [25]:

    
edges = cv2.Canny(bgr,100,200)



In [26]:

    
plt.imshow(edges, cmap='gray')









    Out[26]:





<matplotlib.image.AxesImage at 0x7fb07c121f90>



In [ ]: