Introduction

• Starting and Quitting
• What is MATLAB?
• Standard MATLAB Windows.
• Command Line Help
• Basic Commands Usage
• Operations with variables
• Array Operators and Matrix Operators

M files

• The MATLAB Editor
• Script M-files
• The MATLAB path
• Cells and cell mode
• Publishing M-files
• Function M-files
• Sub functions and nested functions
• Debugging

Programming

• Keywords and constructions
• Program structure
• Handling user input
• Improving code performance
• Function handles
• Graphics programming 

Building Graphical User Interfaces

• What is a GUI?
• Handles Predefined dialogues
• Handle Graphics
• GUI design.
• Using GUIDE.
• Writing callbacks.
• Menus.
• Modifying GUIs
• Examples

What Can You Do With Image Processing

• What is image processing
• Image processing overview
• Examples of fields that use Digital Image Processing
• Fundamental steps in Digital Image Processing
• Components of an Image Processing System

Working with Images

• Exploring image types
• Supported MATLAB data types for representing images
• Binary image
• Intensity Images
• Indexed image
• RGB image
• Importing and exporting images in MATLAB
• Viewing the image
• Single image
• Multiple image frames
• Finding image pixel values: IMPIXVALINFO
• Converting image formats
• Color Space Transformation
• Examples

Image Processing Techniques

• Image enhancement
• Image Restoration.
• Image segmentation.
• Image Filtering.
• Edge Detection.
• Recognition
• Cryptography

Communication with external devices

•  Serial port
•  Parallel port
•  Video input
• Processors and Microcontrollers
• Wireless

Practical Session

• Image Enhancement Techniques
  • Adjusting image intensity
  • Histogram
  • Histogram equalization
  • Histogram adjustment
  • Using arithmetic functions to enhance images
  • Addition – increase brightness
  • Multiplication – increase sharpness
  • Subtraction – detect change
  • Division – detect change
  • Correcting image alignment: rotating
  • Cropping and resizing images
  • Examples
• Image and Video Compression Methods
  • What is image Compression?
  • Compression Techniques.
  • Levels of Transform.
  • Encoding algorithms.
  • Examples.
•  Feature Extraction Using Segmentation and Edge Detection
  • Isolating image features using Thresholding
  • Detecting edges in an image
  • Edge detection functions
  • Performing morphological segmentation
  • Creation of structuring elements
  • Dilation and erosion
  • Region based Segmentation
  • Applying color-based image segmentation
  • Isolating objects using watershed segmentation

Project  Assignment

• Abstract
• PowerPoint Presentation
• Code development
• Manual Preparation