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 necessary packages

Step2:

Create an empty window and add text to it

Step3:

create a structuring element

Step4:

Do the operation

Step5:

Print the output images

Program:

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

#to read the color image
input_image_path='shiba.jpg'
color_image=cv2.imread(input_image_path)

#convert the color image to grayscale
gray_image=cv2.cvtColor(color_image,cv2.COLOR_BGR2GRAY)

#perform edge detection using Canny
edges=cv2.Canny(gray_image,100,200)

#define the kernel size for erosion and dilation
kernel_size=5
kernel=np.ones((kernel_size,kernel_size),np.uint8)

#perform erosion
erosion=cv2.erode(edges,kernel,iterations=1)

#perform dilation
dilation=cv2.dilate(edges,kernel,iterations=1)

#display all images
plt.figure(figsize=(15,10))

plt.subplot(2,3,1)
plt.imshow(cv2.cvtColor(color_image,cv2.COLOR_BGR2RGB))
plt.title('Original Color Image')
plt.axis('on')

plt.subplot(2,3,2)
plt.imshow(gray_image,cmap='gray')
plt.title('Black and White Image')
plt.axis('on')

plt.subplot(2,3,3)
plt.imshow(edges,cmap='gray')
plt.title('Edge Segmentation')
plt.axis('on')

plt.subplot(2,3,4)
plt.imshow(erosion,cmap='gray')
plt.title('Erosion')
plt.axis('on')

plt.subplot(2,3,5)
plt.imshow(dilation,cmap='gray')
plt.title('Dilation')
plt.axis('on')

plt.show()