Online Courses
Free Tutorials  Go to Your University  Placement Preparation 
Goeduhub's Online Courses @ Udemy in Just INR 570/-
Online Training - Youtube Live Class Link
0 like 0 dislike
1.3k views
in OpenCV (Open Source Computer Vision Library) by Goeduhub's Expert (8.3k points)
Morphological Operations-Erosion and Dilation in Opencv Python

Goeduhub's Top Online Courses @Udemy

For Indian Students- INR 360/- || For International Students- $9.99/-

S.No.

Course Name

 Coupon

1.

Tensorflow 2 & Keras:Deep Learning & Artificial Intelligence

Apply Coupon

2.

Natural Language Processing-NLP with Deep Learning in Python Apply Coupon

3.

Computer Vision OpenCV Python | YOLO| Deep Learning in Colab Apply Coupon
    More Courses

1 Answer

0 like 0 dislike
by Goeduhub's Expert (8.3k points)
 
Best answer

Erosion and Dilation are Morphological Operations
Erosion: Removes pixels at the boundaries of objects in an image
Dilation: Adds pixels to the boundaries of objects in an image

# Import Computer Vision package - cv2
import cv2

# Import Numerical Python package - numpy as np
import numpy as np

# Read the image using imread built-in function
image = cv2.imread('image_7.jpg')

# Display original image using imshow built-in function
cv2.imshow("Original", image)

# Wait until any key is pressed
cv2.waitKey(0)

# np.ones returns an array, given shape and type, filled with ones
# np.ones(shape, dtype)
kernel = np.ones((5,5), dtype = "uint8")
# here 5 x 5 is the dimension of the kernal
# uint8: is an unsigned integer (0 to 255)

# cv2.erode is the built-in function used for erosion

# cv2.erode(image, kernel, iterations)
erosion = cv2.erode(image, kernel, iterations = 1)

# Display image after erosion using imshow built-in function
cv2.imshow("Erosion", erosion)

# Wait until any key is pressed
cv2.waitKey(0)

# cv2.dilate is the built-in function used for dilation

# cv2.dilate(image, kernel, iterations)
dilation = cv2.dilate(image, kernel, iterations = 1)

# Display image after dilation using imshow built-in function
cv2.imshow("Dilation", dilation)

# Wait until any key is pressed
cv2.waitKey(0)

# Close all windows
cv2.destroyAllWindows()

Limited Time Offer (till 09/09/2020):- Free Online 5.13 HRS long Course on Computer Vision with OpenCV | Deep Learning CNN Projects:- Apply Coupon

3.3k questions

7.1k answers

394 comments

4.6k users

 Goeduhub:

About Us | Contact Us || Terms & Conditions | Privacy Policy || Youtube Channel || Telegram Channel © goeduhub.com Social::   |  | 
...