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erosion--dilation's Introduction

EXP 9 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:

Step1:

Import the necessary pacakages

Step2:

Create the text using cv2.putText

Step3:

Create the structuring element

Step4:

Erode the image

Step5:

Dilate the Image

Program:

Name:S.Thirisha
REg no:212222230160
Import the necessary packages
import numpy as np
import cv2
import matplotlib.pyplot as plt
Create the Text using cv2.putText
img = np.zeros((100,400),dtype = 'uint8')
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(img ,'HEALTH',(60,70),font,2,(255),5,cv2.LINE_AA)
plt.imshow(img)
plt.axis('off')
Create the structuring element
kernel = np.ones((5,5),np.uint8)
kernel1 = cv2.getStructuringElement(cv2.MORPH_CROSS,(5,5))
cv2.erode(img,kernel)
Erode the image
img_erode = cv2.erode(img,kernel1)
plt.imshow(img_erode)
plt.axis('off')
Dilate the image
img_dilate = cv2.dilate(img,kernel1)
plt.imshow(img_dilate)
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.

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