Program for Dilation, Erosion, Opening and Closing in Matlab. Here you will get complete coding for the above mention topic of Dilation, Erosion, Opening and Closing and their properties.
Below you will get learn how we can use Matlab Program for Dilation, Erosion, Opening and Closing and their properties.
What is Image Processing
Image Processing is a technique to perform some functions on an image, in order to have an improved image or to extract various interesting facts from it.
Image Morphology is an essential tool in image processing. It is actually the learn shapes of object present in the image and extraction of image features.
Image features are essential for object recognition. The basic morphological operations include Erosion and Dilation, Opening and Closing are also morphological operators. These operators are deciding on as basic operations in image processing algorithms.
DILATION
Dilation is used to binary and grey scale images.
Syntax
Y = imdilate(A,B);
• A = input image
• B = Structuring element
• Y = Dilated image
The main purpose of this Dilation is that:
- Dilation adds pixels to the boundaries of objects in an image.
- It expands the window and shrinks background.
- It slowly increases the boundaries of the region
- Small holes in the image become smaller.
- It increases the illumination of the object
EROSION
Erosion is also very important operator like dilation. It shrinks/thin objects in a binary image.
Syntax
SE =imerode(A,B);
The significant purpose of erosion is to:
- Erosion removes pixels on object boundaries
- It Shrinks the window and grows background.
- It used to make an object shorter by eliminating is outside region of pixels.
- The image gets darker. After implementation of erosion.
- Erosion takes image and structuring element as inputs and thins the subject.
OPENING
Opening operation is mixed of dilation and erosion operations. In Opening operation Erosion is followed by Dilation.ÂÂ
- Opening Operation is similar to Erosion
- In Opening Operation Spot and noise removal occurs
- It is Less destructive
- In this operation Erosion is followed by dilation
Input:
- Binary Image
- Structuring Element.
CLOSING
Closing operation is a dilation operation followed by an erosion operation. Closing is actually the group of points, which the intersection of object B about them with object A is not vacant.
- It removes small holes.
- It is idempotent.
- It is increasing.
- It is translation invariant.
- Opening is idempotent: repeating application has no additional effects.
Write A Program for Dilation, Erosion, Opening, Closing and their Properties.
clc;
clear all;
close all;
a=imread(‘C:\Users\Allah\Pictures\sample_Images_for_matlab\images(5).jpg’);
% Read an input image
b=strel(‘line’,11,90);
% strel represents morphological structuring element
figure(1);
imshow(a);
title(‘Axon Original image’);
c=imdilate(a,b);
figure(2);
imshow(c);
title(‘ Axon Dilate image’);
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d=strel(‘disk’,11);
e=imerode(a,d);
figure(3);
imshow(e);
title(‘ Axon Erode image’);
c=imopen(a,b);
figure(4);
imshow(c);
title(‘Axon Open image’);
d=strel(‘disk’,11);
e=imclose(a,d);
figure(5);
imshow(e);
title(‘Axon Close image’)
%Properties
h=[0 1 0;1 1 1;0 1 0];
i1=imdilate(a,h);
figure(6);
imshow(i1);
title(‘Axon Dilate image Pro 1’);
% pro=properties
i2=imerode(a,h);
figure(7);
imshow(i2);
title(‘Axon Erode image Pro 2 ‘);
i3=a-i2;
figure(8);
imshow(i3);
title(‘Axon Pro 3’);
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i4=i1-a;
figure(9);
imshow(i4);
title(‘Axon Pro 4’);
i5=i1-i2;
figure(10);
imshow(i5);
title(‘Axon Pro 5’);
All above data is refraining to the book ZERO-TO-HERO by ARSATH NATHEEM S Copyright © 2017, 2018 by futurebme.com.