EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 360+ Courses All in One Bundle
  • Login
Home Data Science Data Science Tutorials Matlab Tutorial Matlab Image Segmentation
Secondary Sidebar
Matlab Tutorial
  • Functions
    • MATLAB Functions
    • MATLAB user defined function
    • Calling Functions in MATLAB
    • Transfer Functions in MATLAB
    • Anonymous Functions in MATLAB
    • Inline Functions in MATLAB
    • Bessel Functions in MATLAB
    • Mean Function in MATLAB
    • Find Function MATLAB
    • Filter Function in MATLAB
    • IIR Filter MATLAB
    • Piecewise Function in MATLAB
    • Sum Function in MATLAB
    • Simulink MATLAB Function
    • MATLAB Create Function
    • MATLAB Inverse Function
    • MATLAB Count
    • Step Function MATLAB
    • MATLAB limit
    • Fminsearch in MATLAB
    • Covariance in MATLAB
    • Summation in MATLAB
    • Linear Fit MATLAB
    • MATLAB?linear regression
    • MATLAB Derivative
    • MATLAB Derivative of Function
    • MATLAB Comet()
    • Fzero MATLAB
    • xlabel MATLAB
    • Matplotlib Legend
    • Matplotlib Subplots
    • Plot graph MATLAB
    • MATLAB Format
    • MATLAB plot title
    • Multiple Plots in MATLAB
    • MATLAB Indexing
    • Ceil MATLAB
    • Curve Fitting MATLAB
    • MATLAB trapz()
    • MATLAB Normalize
    • MATLAB diff
    • MATLAB sym()
    • MATLAB Syms
    • Absolute Value MATLAB
    • MATLAB Exponential
    • Kalman Filter MATLAB
    • Low Pass Filter MATLAB
    • Bandpass Filter MATLAB
    • MATLAB Unique
    • Trapezoidal Rule MATLAB
    • MATLAB Root Finding
    • MATLAB stem()
    • MATLAB loglog()
    • MATLAB Autocorrelation
    • MATLAB Sort
    • Simplify MATLAB
    • Cumsum MATLAB
    • Eval Function MATLAB
    • Polyval MATLAB
    • MATLAB Colon
    • MATLAB Eigenvalues
    • MATLAB fit
    • Delta Function MATLAB
    • MATLAB Remainder
    • Differentiation in MATLAB
    • Permute MATLAB
    • isempty MATLAB
    • MATLAB text()
    • MATLAB Display Text
    • Varargin in MATLAB
    • MATLAB gca
    • MATLAB fill()
    • MATLAB pcolor()
    • MATLAB min
    • MATLAB xcorr
    • MATLAB? color codes
    • Semilogy MATLAB
    • MATLAB? eye
    • feval MATLAB
    • num2str in MATLAB
    • MATLAB Images
    • MATLAB Image? Segmentation
    • Imagesc MATLAB
    • MATLAB Image Processing
    • MATLAB Image Resize
    • MATLAB Flag
    • MATLAB fopen
    • Strcmp MATLAB
    • MATLAB fwrite
    • MATLAB fft()
    • MATLAB zeros()
    • MATLAB textread
    • Arctan MATLAB
    • MATLAB Scripts
    • Butterworth filter MATLAB
    • MATLAB Findpeaks
    • MATLAB find Index
    • MATLAB Cell
    • MATLAB Unit Step Function
    • MATLAB Backslash
    • MATLAB Mod
    • Size Function in MATLAB
    • Secant MATLAB
  • Basic
    • MATLAB Area Under Curve
    • MATLAB not equal
    • MATLAB max
    • MATLAB exist
    • MATLAB Table
    • MATLAB regression
    • MATLAB Lists
    • MATLAB quantile
    • MATLAB Round
    • MATLAB readtable
    • MATLAB disp
    • MATLAB Standard Deviation
    • MATLAB quadprog
    • MATLAB Transpose
    • Introduction to MATLAB
    • Advantages of MATLAB
    • MATLAB Features
    • Taylor Series MATLAB
    • MATLAB Z Transform
    • fsolve in MATLAB
    • MATLAB QR
    • Career in MATLAB
    • Uses Of MATLAB
    • MATLAB Free
    • How to Install MATLAB
    • How to Use MATLAB?
    • MATLAB Version
    • MATLAB Compiler
    • MATLAB Commands
    • MATLAB Block Comment
    • MATLAB? sprintf
    • MATLAB fprintf
    • Data Types in MATLAB
    • MATLAB Integral
    • MATLAB Double Integral
    • MATLAB boolean
    • MATLAB vpa
    • MATLAB Object
    • MATLAB Annotation
    • MATLAB Variables
    • MATLAB Global Variables
    • MATLAB Operators
    • MATLAB Logical Operators
    • MATLAB nan
    • MATLAB Patch
    • MATLAB AND Operator
    • MATLAB OR Operator
    • Vectors in MATLAB
    • What is Simulink in MATLAB
    • MATLAB Interpolation
    • MATLAB Imread
    • fscanf MATLAB
    • Euler Method MATLAB
    • Root Locus MATLAB
    • MATLAB return
    • Bode Plot MATLAB
    • Nargin MATLAB
    • MATLAB Matrix Inverse
    • MATLAB String to Number
    • MATLAB string
    • MATLAB ColorBar
    • MATLAB Surfc
    • MATLAB Concatenate
    • NUMEL MATLAB
    • MATLAB? File Extension
    • MATLAB File
    • MATLAB Smooth
    • MATLAB ones
    • Exponential in MATLAB
    • MATLAB ksdensity
    • MATLAB log
    • MATLAB Append
    • MATLAB hold on
    • MATLAB Magnitude of Vector
    • Heatmap in MATLAB
    • MATLAB xticks
    • MATLAB randn
  • Control Statements
    • IF-Else Statement in MATLAB
    • If Statement in MATLAB
    • Loops in MATLAB
    • For Loop in MATLAB
    • While Loop in MATLAB
    • do while loop in MATLAB
    • Nested Loop in MATLAB
    • Switch Statement in MATLAB
    • Break in MATLAB
  • Matrix
    • Matrix in MATLAB
    • 3D Matrix in MATLAB
    • Transpose Matrix MATLAB
    • Sparse Matrix in MATLAB
    • Matrix Multiplication in MATLAB
    • Identity Matrix in MATLAB
    • MATLAB?writematrix
  • Advanced
    • MATLAB Class
    • Arrays in MATLAB
    • Matlab find value in array
    • MATLAB Grader
    • Power Spectral Density MATLAB
    • Matlab Textscan
    • String Array in MATLAB
    • MATLAB Random Numbers
    • Matlab Dot
    • MATLAB 2D Array
    • MATLAB? zero padding
    • MATLAB sort matrix
    • MATLAB Plot Function
    • 2D Plots in MATLAB
    • 3D Plots in MATLAB
    • MATLAB Fread
    • Spectrogram MATLAB
    • MATLAB Average
    • MATLAB exponent
    • MATLAB not enough input arguments
    • MATLAB comment
    • MATLAB zpk
    • Scatter Plots in MATLAB
    • MATLAB 3d scatter plot
    • Bar Graph in MATLAB
    • Bar Plot MATLAB
    • Log Plot MATLAB
    • Polar Plot in MATLAB
    • Surface Plot in MATLAB
    • MATLAB Plot Circle
    • Boxplot in MATLAB
    • MATLAB Plot Multiple Lines
    • Linspace MATLAB
    • Histogram in MATLAB
    • Plot Vector MATLAB
    • MATLAB Legend
    • MATLAB Plot Legend
    • MATLAB ezplots
    • Column Vector MATLAB
    • MATLAB Plot Marker
    • MATLAB LineWidth
    • MATLAB Line Style
    • Contour plot in MATLAB
    • MATLAB Sine Wave
    • Reshape in MATLAB
    • Natural Log in MATLAB
    • Random Number Generator in MATLAB
    • Complex Numbers in MATLAB
    • MATLAB Figure
    • Heatmap in MATLAB
    • MATLAB Technical Computing
    • Colors in MATLAB
    • Colormap in MATLAB
    • MATLAB Plot Colors
    • MATLAB fplot()
    • MATLAB Stacked Bar
    • MATLAB sphere()
    • MATLAB cylinder()
    • MATLAB mesh()
    • Pie Chart in MATLAB
    • MATLAB Gradient
    • Grid on MATLAB
    • Repmat in MATLAB
    • dlmread in MATLAB
    • Meshgrid in MATLAB
    • MATLAB Struct
    • MATLAB Cross Product
    • MATLAB colorbar Label
    • MATLAB Save Variable
    • MATLAB Saveas
    • MATLAB Cell Array
    • Polynomial in MATLAB
    • ismember MATLAB
    • Heaviside MATLAB
    • MATLAB rref
    • MATLAB polyfit()
    • MATLAB xlim
    • MATLAB Variance
    • Optimset MATLAB
    • Quiver MATLAB
    • Newton Raphson MATLAB
    • Mat2cell MATLAB
    • Magnitude MATLAB
    • format long MATLAB
    • Dot Product MATLAB
    • Jacobian MATLAB
    • What is Matlab?
    • Convolution MATLAB
    • Moving Average MATLAB
    • Fourier Series MATLAB
    • Gaussian Fit MATLAB
    • Bisection Method MATLAB
    • Laplace Transform MATLAB
    • Fourier Transform MATLAB
    • Signal Processing MATLAB
    • MATLAB Forms
    • Complex Conjugate MATLAB
    • MATLAB Write to File
    • uigetfile MATLAB
    • MATLAB Toolbox
    • MATLAB Errorbar
    • MATLAB Index Exceeds Matrix Dimensions
    • Nyquist MATLAB
    • Impulse Response MATLAB
    • xlsread MATLAB
    • MATLAB xlswrite
    • Matplotlib Scatter
    • MATLAB Import Data
    • MATLAB Export Data
    • MATLAB Read CSV
  • Programs
    • Square Root in MATLAB
    • Square Wave MATLAB
    • Squeeze MATLAB
    • Factorial in MATLAB
    • Cell to String MATLAB
  • Interview Questions
    • MATLAB Interview Questions

Related Courses

MATLAB Certification Course

R Programming Course

All in One Data Science Courses

Matlab Image Segmentation

Matlab Image Segmentation

Introduction to Matlab Image Segmentation

Image segmentation refers to an image processing technique where an image or an object in an image is segregated, meaning that its parts are broken into pieces. Pixels are differentiated so they could be analyzed for different regions and a universal background image data. Usually, it analyses pixels on two tests of how do they connect to their neighboring objects similarly or intermittently; also Matlab differentiates pixels on their properties so they may be divided into regions for a hypothetical scenario and how the output of images being put in there would be.

As a realistic implementation, MRI uses this technique to detect non-relating pixels on body images that may be potential tumors.

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

All in One Data Science Bundle(360+ Courses, 50+ projects)
Python TutorialMachine LearningAWSArtificial Intelligence
TableauR ProgrammingPowerBIDeep Learning
Price
View Courses
360+ Online Courses | 50+ projects | 1500+ Hours | Verifiable Certificates | Lifetime Access
4.7 (86,112 ratings)

How does Image Segmentation work in Matlab?

Image segmentation is the differentiation of the pixels into particular regions. The image segmentation process allows a user to divide and put apart different parts of the image and gives the freedom to use the required part. This technique helps point out abnormalities or detect a particular problem when an image generates.

There are two ways of processing the segmentation

  • Noticing the cluster of pixels that don’t belong in the pattern
  • Looking for similarities.

1. Image segmentation in MATLAB

Matlab provides the user with not a single but multiple tech gateways for the segregation of images. Matlab has been developed with in-depth research and has integrated algorithms for segmentation and image analysis.

2. Apps from Matlab for image segmentation

The first great feature of Matlab is a vibrant and efficient app built for image segmentation. This app has the pre-integration of various image processing techniques that segments your image through different methods and systems. At last, you can compare the results and choose the effect required.

3. Apps from Matlab for color thresholding

The second application applying different segmentation techniques is thresholding. Thresholding means detecting color groups or color codes in an image and separating them to create a region of particular colors. For example, you can use it in filtering images and thresholding colors from it for creating a mask or other cloud images.

Example:

The below example has demonstrated segmenting an image in the Image Segmenter app with thresholding.

Step 1: Loading the image to Image segment or App:

Go to MATLAB® toolstrip> Image Segmenter app> Image Processing and Computer Vision >Apps  >click Image Segmenter >Load> Load Image from Workspace

Matlab Image Segmentation output 1

Step 2: Using Threshold for image segmentation

Image Segmenter app toolstrip>Create Mask section>Click Threshold.

Matlab Image Segmentation output 2

Other Methods of Matlab Image Segmentation

Here are the other methods of Matlab image segmentation which are mention below:

1. Mapping and Graphing

Mapping and Graph-based image segmentation techniques are similar to what graphs do. Graphs divide the diagram or structure into its axis or directions; in the same way here, the image is divided into foreground matter and background rest. Again, you have lazy snapping available for this, or you can use an application alternative that is an easy option from Matlab.

2. Clustering

Clustering is seen in the image segmentation of injury or hit analysis. You can divide the image into clusters of particular markings. So cluster lets you separate the marked area from the rest.

3. Growing the segments on a region

Image segmentation, as we know, includes most of the region-based division of pixels of an image. It makes an object as an image and grows pixels there to take an object’s image segmented. Matlab apps also help you with it.

So these were some popular methods for image segregation and how MATLAB is an efficient platform to do so.

4. Deep Learning Technique

As the name suggests, deep learning uses a semantic type of segmentation technique that can even sort a single pixel and mark it. It is done with the help of CNN’s. This kind of image processing is used in deep sensing utilization such as maps, location generating, or satellite image transfer.

Examples of Pull right bootstrap

Here are the following examples mention below

Example #1 – Medical Image Segmentation

This use is particularly essential and uses a clustering technique of image segmentation. For example, pathologists look for tissue injuries or internal wounds via giving body tissues (H&E) separation. Where clusters of the same tissues are of the same color and inconsistencies, appear in different groups.

Example #2 – Automated Driving Vehicles

When data scientists and analysts conceptualize driverless cars or automated driving, they use semantic image segmentation techniques. It uses the method of differentiating the vehicle and other distractions or objects on the road. A particular segment helps vehicles identify particular things in real life.

Example #3 – Miscellaneous

OCR text detecting in the image, microorganisms for researchers, detecting impurities and faults in material, face detection in security surveillance and defects detection, etc.

Advantages of Image Segregation In Matlab:

  • Large Database- Matlab has a vast range of pre-installed methods and image processing techniques for different computing ways.
  • Matlab lets the user check methods and algorithms without the need to compile them again and again.
  • Matlab decreases the complications with image segmentation with the memory of tasks and diverse user interface. This interface enables the user with easy operations for any image segmentation tasks.
  • Matlab provides regular updates for performance enhancement and feature improvement.
  • Matlab is a great platform that has a vast number of users and a client-friendly community.
  • Matlab has lots of free examples and guidance for new users.
  • Matlab allows you to read and analyze several image formatting and different image segmented outputs.
  • Experienced and trained technical staff and user response team are always eager to help the user and improve the Matlab.
  • Embedded features include a unique Coder, an increasing and detailed number of image segmentation, and mathematics algorithm features that combine many elements of different programming environments.
  • Another charm over all the features is the freedom to call third-party libraries and integrate multiple techniques in their image segmentation apps.
  • Customization is a keen quality of the Matlab.

Conclusion

Matlab is an advanced programming base and platform. We know that image segmentation in today’s era is widespread and gets used to protect and better human life. When such importance is connected to the image segmentation, you want the best result. This best result can be achieved with image segmentation in Matlab.

Recommended Articles

This is a guide to Matlab Image Segmentation. Here we discuss How does Image Segmentation work in Matlab, along with the Methods, Examples, and Advantages. You may also have a look at the following articles to learn more –

  1. Matlab Flag
  2. Matlab Images
  3. Simplify Matlab
  4. MATLAB Exponential
Popular Course in this category
MATLAB Training (3 Courses, 1 Project)
  3 Online Courses |  1 Hands-on Project |  8+ Hours |  Verifiable Certificate of Completion
4.5
Price

View Course

Related Courses

R Programming Training (13 Courses, 20+ Projects)4.9
All in One Data Science Bundle (360+ Courses, 50+ projects)4.8
0 Shares
Share
Tweet
Share
Primary Sidebar
Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

ISO 10004:2018 & ISO 9001:2015 Certified

© 2022 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA
Free Data Science Course

SPSS, Data visualization with Python, Matplotlib Library, Seaborn Package

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA Login

Forgot Password?

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more