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Matlab Image Processing

MATLAB Image Processing | Workshop on Digital Image Processing using MATLAB

About Workshop

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language. MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. 

Using MATLAB, a student can analyze data, develop algorithms, and create models and applications. The language, tools and built-in math functions provide to explore multiple approaches and reaches to solution faster than with spreadsheets or traditional programming languages. MATLAB can be used for a range of applications including signal processing and communications, image and video processing, control systems, test and measurement, computational finance, and computational biology.

Topics to be covered in Workshop

Day 1- Session 1

Introduction to MatLab

  • What is MATLAB
  • The dominance of MATLAB over other languages
  • Power of Matrix computations
  • The application of MATLAB in various fields of engineering
  • MATLAB Environment

Arithmetic Functions in MATLAB

  • Matrixes and Vectors
  • Creating Matrixes and Vectors
  • Matrix Operation
  • Array Operation
  • Indexing Matrix
  • Adding Elements to Vector or Matrix
  • Various Flow Control used in MATLAB
  • 2D & 3D graphical Plotting

Session: 2

Introduction to Image Processing

  • What is Image Data
  • Image Processing Toolbox
  • Importing Image
  • How to build a matrix image
  • Image Display
  • Image Operations
  • Image Conversion

Image Arithmetic

  • Adding Images
  • Subtracting Images
  • Multiplying Images
  • Dividing Images
  • Spatial Transformation
  • Resizing Images
  • Rotating Images
  • Cropping Images

Image Filtration

  • What is Image Restoration
  • Noise and Images
  • Noise Models
  • Noise removal using spatial domain filtering
  • Periodic noise
  • Noise removal using frequency domain filtering

Day 2- Session 3

 Morphological Image Processing

  • Mathematic Morphology
  • Z2 and Z3
  • Basic set theory
  • Logic Operations
  • Structuring Element
  • How to describe Structuring Element
  • Basic Morphological Operations
  • Erosion
  • Dilation
  • Combining Erosion and Dilation
  • Filtering Application

Introduction to Graphical User Interface

Application and Demo's

Session 4

  • Competition

Duration: The duration of this workshop will be two consecutive days, with eight hour session each day in a total of sixteen hours properly divided into theory and hands on sessions.

Certification Policy:

  • Certificate of Participation for all the workshop participants.
  • At the end of this workshop, a small competition will be organized among the participating students and winners will be awarded with a 'Certificate of Excellence'.
  • Certificate of Coordination for the coordinators of the campus workshops.

Eligibility: There are no prerequisites. Anyone interested, can join this workshop.

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