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License: BSD 3-Clause "New" or "Revised" License

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implementation-of-erosion-and-dilation's Introduction

Implementation-of-Erosion-and-Dilation

Aim

To implement Erosion and Dilation using Python and OpenCV.

Software Required

  1. Anaconda - Python 3.7
  2. OpenCV

Algorithm:

Step 1:

Import the necessary packages.

Step 2:

Create the Text using cv2.putText

Step 3:

Create the structuring element.

Step 4:

Erode the image.

Step 5:

Dilate the image.

Program:

/*
Developed by   : Tamil venthan R S
Register Number: 212220230054
*/
# Import the necessary packages
import cv2
import numpy as np
import matplotlib.pyplot as plt
# Create the Text using cv2.putText
img1=np.zeros((300,500),dtype='uint8')
font=cv2.FONT_ITALIC=3
img2=cv2.putText(img1,"Kumaran",(5,70),font,3,(255),5,cv2.LINE_AA)
cv2.imshow("Original",img2)
cv2.waitKey(0)
cv2.destroyAllWindows()
# Create the structuring element
kernel1=np.ones((5,5),np.uint8)
# Erode the image
erode=cv2.erode(img2,kernel1)
cv2.imshow("Erosion1",erode)
cv2.waitKey(0)
cv2.destroyAllWindows()
# Dilate the image
dilute=cv2.dilate(img2,kernel2)
cv2.imshow("Dilution",dilute)
cv2.waitKey(0)
cv2.destroyAllWindows()

Output:

Display the input Image

Screenshot (151)

Display the Eroded Image

Screenshot (152)

Display the Dilated Image

Screenshot (153)

Result

Thus the generated text image is eroded and dilated using python and OpenCV.

implementation-of-erosion-and-dilation's People

Contributors

etjabajasphin avatar tamilventhanrs avatar

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