erosion--dilation's Introduction

Implementation-of-Erosion-and-Dilation

Aim

To implement Erosion and Dilation using Python and OpenCV.

Software Required

Anaconda - Python 3.7
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:

DEVELOPED BY: ARSHATHA.P
REGISTER NO.: 212222230012

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,"ARSHA",(5,70),font,2,(255,255,255),5,cv2.LINE_AA)

Create the structuring element

kernel = np.ones((5,5),np.uint8)
kernel1 = cv2.getStructuringElement(cv2.MORPH_CROSS,(5,5))
cv2.erode(img,kernel)
plt.imshow(img)
plt.axis('off')

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:

Display the Eroded Image:

Display the Dilated Image:

Result:

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

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arshatha-palanivel / erosion--dilation Goto Github PK

erosion--dilation's Introduction

Implementation-of-Erosion-and-Dilation

Aim

Software Required

Algorithm:

Step1:

Step2:

Step3:

Step4:

Step5:

Program:

Import the necessary packages

Create the Text using cv2.putText

Create the structuring element

Erode the image

Dilate the image

Output:

Display the input Image:

Display the Eroded Image:

Display the Dilated Image:

Result:

erosion--dilation's People

Contributors

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