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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 image.

Step 3:

Create the structuring image for dilation/erosion.

Step 4:

Apply erosion and dilation using cv2.erode and cv2.dilate.

Step 5:

Display the images.

Program:

Developer Name : NITHISHWAR S
Register number : 212221230071

import numpy as np 
import cv2
import matplotlib.pyplot as plt

img1=np.zeros((100,300),dtype= 'uint8') 
font=cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(img1,'NITHISHWAR',(5,70),font,1.4,(355),5,cv2.LINE_AA)
plt.imshow(img1,cmap='gray')
plt.title("Original Image")
plt.axis('off')
# Create the structuring element
kernel = cv2.getStructuringElement(cv2.MORPH_CROSS,(7,7))
# Erode the image
image_erode = cv2.erode(img1,kernel)
plt.title("Eroded Image")
plt.imshow(image_erode,cmap='gray')
plt.axis('off')
# Dilate the image

image_dilate = cv2.dilate(img1,kernel)
plt.title("Dilated Image")
plt.imshow(image_dilate,cmap='gray')
plt.axis('off')


Output:

Display the input Image

image

Display the Eroded Image

image

Display the Dilated Image

image

Result

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

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

Contributors

nithish74 avatar etjabajasphin avatar

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