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 packages.

Step2:

Create the text image using cv2.putText.

Step3:

Then create the structuring image for dilation/erosion.

Step4:

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

Step5:

Plot the images using plt.imshow.

Program:

Developed By:RASIKA.M
Register Number:212222230117

# Import the necessary packages

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

# Create the Text using cv2.putText

image = np.zeros((100,500),dtype = 'uint8')
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(image,"RASIKA",(5,70),font,2,(255),5,cv2.LINE_AA)
plt.imshow(image,cmap='gray')
plt.title('Input Text'), plt.xticks([]), plt.yticks([])
plt.show()

# Create the structuring element
kernel=cv2.getStructuringElement(cv2.MORPH_CROSS,(7,7))

# Erode the image

image_erode=cv2.erode(image,kernel)
plt.imshow(image_erode,cmap='gray')
plt.title('Eroded Text'), plt.xticks([]), plt.yticks([])
plt.show()

# Dilate the image

image_dilate=cv2.dilate(image,kernel)
plt.imshow(image_dilate,cmap='gray')
plt.title('Dilated Text'), plt.xticks([]), plt.yticks([])
plt.show()