praveenv23013808 / erosion--dilation

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Exp:09 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:

developed by: Praveen.v reg no:212222233004

# 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 ,'Downloads/photo.png',(60,70),font,2,(255),5,cv2.LINE_AA)
plt.imshow(img)
plt.axis('off')


# Create the structuring element
# 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
# Erode the image
img_erode = cv2.erode(img,kernel1)
plt.imshow(img_erode)
plt.axis('off')


# Dilate the image
# Dilate the image
img_dilate = cv2.dilate(img,kernel1)
plt.imshow(img_dilate)
plt.axis('off')


Output:

Display the input Image

exp 9

Create the structuring element

Screenshot 2024-05-09 075533

Display the Eroded Image

Screenshot 2024-05-09 075558

Display the Dilated Image

Screenshot 2024-05-09 075626

Result

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

About

License:GNU General Public License v3.0


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