MATLAB with Image Processing - Robothlon'16


Robothlon'16 is a National level workshop series organized by Robosapiens Technologies in association with Rendezvous 2016 IIT Delhi. We are Robosapiens Technologies Pvt. Ltd. an IIT-Bombay alumni venture.

Project Description
  • Overview
  • Course
  • Project
  • Kit

OVERVIEW

Matlab workshop mainly focuses on the student eager to learn about Matrix Laboratory which is a high-level language and interactive environment for numerical computation, visualization, and programming. 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.


Certificate by Robothlon'16 in Association With Rendezvous 2016 IIT Delhi

Day 1 (Session 1)

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
2. 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

Day 1 (Session 2)

1. 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
2. Image Arithmetic
  • Adding Images
  • Subtracting Images
  • Multiplying Images
  • Dividing Images
  • Spatial Transformation
  • Resizing Images
  • Rotating Images
  • Cropping Images
3. 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)

1. 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
2. Introduction to Graphical User Interface
3. Application and Demos

Project to be Covered

  • 2D & 3D Graphical Representation
  • Image Comparison
  • Image Pairing
  • Matrices Manipulation
  • Filtering of Noise
  • Red Object Detection
  • GUI Based Calculator
  • GUI Based Image Transforms

1x MATLAB Tool Kit CD

  • Drivers
  • PPTs
  • Software
  • Tutorials